MAGEDMetaheuristicApproachonGeneExpressionDataPredictingtheCoronaryArteryDiseaseandTheScopeofUnstableAnginaandMyocardialInfarction

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1 Global Journal of Coputer Scence and Technology: C Software & Data Engneerng Volue 6 Issue 4 Verson 0 Year 06 Type: Double Blnd Peer Revewed Internatonal Research Journal Publsher: Global Journals Inc (USA Onlne ISS: & Prnt ISS: MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and the Scope of Unstable Angna and Myocardal Infarcton By Eeela & MSPras Babu GITAM Unversty Abstract - The Genetc rs predcton strateges found n practce for coronary artery dsease are not sgnfcant to estate the scope of verse cardovascular events such as unstable angna and yocardal nfarcton Hence n regard to ths obectve, ths anuscrpt contrbuted a etaheurstc approach to predct coro- nary artery dsease and the scope of unstable angna and yocardal nfarcton The proposed etaheurstc s bult fro the gene expresson data of blood saples collected fro patents wth coronary artery dsease dagnosed, unstable angna and Myocardal Infarcton The data also ncludes gene expresson data collected fro the blood saples taen fro the people clncally proven as salubrous (healthy The relaton between genes and gene expressons are consdered as the state of nput to devse the etaheurstc Keywords: cro array, coronary artery dsease, unstable angna, yocardal nfarcton, gene expresson data, gene expresson proflng, etaheurstcs, achne learnng GJCST-C Classfcaton : J3, H MAGEDMetaheurstcApproachonGeneExpressonDataPredctngtheCoronaryArteryDseaseandTheScopeofUnstableAngnaandMyocardalInfarcton Strctly as per the coplance and regulatons of: 06 Eeela & MSPras Babu Ths s a research/revew paper, dstrbuted under the ters of the Creatve Coons Attrbuton-oncoercal 30 Unported Lcense perttng all non-coercal use, dstrbuton, and reproducton nany edu, provded the orgnal wor s properly cted

2 Abstract - The Genetc rs predcton strateges found n practce for coronary artery dsease are not sgnfcant to estate the scope of verse cardovascular events such as unstable angna and yocardal nfarcton Hence n regard to ths obectve, ths anuscrpt contrbuted a etaheurstc approach to predct coro- nary artery dsease and the scope of unstable angna and yocardal nfarcton The proposed etaheurstc s bult fro the gene expresson data of blood saples collected fro patents wth coronary artery dsease dagnosed, unstable angna and Myocardal Infarcton The data also ncludes gene expresson data collected fro the blood saples taen fro the people clncally proven as salubrous (healthy The relaton between genes and gene expressons are consdered as the state of nput to devse the etaheurstc In order to fnd the confdence of the relaton between gene and gene expresson a bpartte graph s bult between the The experental study evncng that the predcton perforance of the proposed odel s substantal that copared to other bencharng odels Keywords: cro array, coronary artery dsease, unstable angna, yocardal nfarcton, gene expresson data, gene expresson proflng, etaheurstcs, achne learnng I Introducton Cardovascular dseases are the crtcal reason of huan deaths happenng worldwde The statstcs ndcatng that ths dsease causes annually around 73 llon deaths []The nequate blood supply to the heart causes necross of yocardal tssue, whch s clncally referred as Myocardal Infarcton ( The was claed 76 llon deaths aong 58 llon deaths worldwde n 005 [] The vanceents n clncal practces to dagnose and prevent are evnced to be not sgnfcant, snce the count of huan deaths due to s hgh that copared to the deaths caused by any other dsease [] [] The current dagnoss of s based on clncal syptos ncludng chest pan and dffculty to breath, ECG pattern varants, and potental drop and rase of blood floatng n cardac uscles (cardac troponns Author α: Assstant Professor, Departent of CSE GITAM Unversty, Vsahapatna, AP, IDIA e-al: ehaneela@galco Author σ: Professor, Departent of CS & SE Andhra Unversty, Vsahapatna, AP, IDIA e-al: profspbabu@galco also referred as ctns [3] Though the phenoenal vances n clncal dagnoss strateges found, stll the substantal constrants are evnced n current clncal dagnoss strateges The vances n hs-ctn assays [4] have evnced hgh detecton of cardo vascular dsease cases (Increased true postve rate but sgnfcant noral cases have been labeled as cardo vascular prone (decreased true negatve rate, whch s a potental constrant Another vanced approach of dagnose the cardo vascular dsease dagnostc easure s the cardac RAs as boarers [5] The predcton outcoes of ths odel are trval due to lted sze and tssue specfc expresson Hence t s obvous to have ore sgnfcant and autoated detecton strateges, whch are usng the cardac RAs as prary nput [6] The seru nflaatory arers such as BP, CRP are also consdered as cardovascular boarers but the detecton accuracy observed wth slght proveent [7][8][9] The acts such as clncal pathology and bology are the crucal to defne cardac boarers, whch are expensve and less accurate In contrast to ths, the gene expresson proflng quantfes the gene expressons fored by the large quantty of genes n order to dentfy boarers, whch s analogous and concurrent across the ultple pathways Hence the gene expresson proflng s potental and feasble to quantfy the boarers to dagnose cardo vascular dseases [0] The boarers defned by Gene expresson proflng are potental and those are not evnced by the pathology and bology based clncal processes The rest of anuscrpt descrbes the related wor n secton, the Metaheurstc Approach on Gene expresson Data (MAGED that followed by secton 4, whch elaborates the experental study of the proposal Fnally the secton 5 concludes the contrbuton of the anuscrpt II Related Wor Gene expresson analyss s a potental approach to dscover profound boarers of cardo vascular dseases The conteporary lterature contans sgnfycant contrbutons n defnng boarers through gene Year 06 C MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and the Scope of Unstable Angna and Myocardal Infarcton Eeela α & MSPras Babu σ Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I 06 Global Journals Inc (US

3 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton Year 06 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I expresson analyss Rand et al, [] devsed a gene expresson analyss that conceded 48 genes assocated to the coposton of plaques found n arteres Many of these genes were not consdered for atheroscleross n earler dagnoss strateges Archac et al,[] proposed a gene expresson proflng strategy that resulted 56 dfferent genes for atherosclerossprone and salubrous huan coronary arteres Aong these 56, the 49 genes were not assocated to coronary artery dsease earler The odel devsed n [3] dscovered set of genes those enables classfcaton accordng to age and sex, whch are havng strong assocaton wth obstreperous n the patents, who are not dagnosed as dabetc The contrbutons n [4] and [5] profled varant gene expressons to dfferentate the cardo yopathes wth nfluence of schec and nonschec condtons Mn KD et al, [6] contrbuted proflng and analyss of gene expressons to notce the dvergent genes assocated to congestve heart falure Suresh R et al, [7] studed the salubrous and patents that dscovered boarers and balanced pathways those sgnfcant evnce the reappearance n patents effected once wth Lew et al,[8] defned sequence tags fro gene expressons usng croarray analyss that copares RA olecules found n cellular coponents of the blood wth RA olecules found n9dvergent huan tssues coprsng heart The correlaton observed fro ths coparson concluded that 84% of RA olecules were overlapped wth RA olecules of heart and 80% were overlapped wth RA olecules of other tssues RA olecules of cellular coponents of the blood are costng nal and feasble to access n order to substtute gene expresson n other tssues The contrbutons found n conteporary lterature are specfc to dscover the nfluental genes of Myocardal Infarcton one of these are capable to dentfy the gven gene expresson s prone to under and or the expresson s salubrous Ths evnces the need of novel contrbutons to dscover the state of a gven gene expresson s prone to under and or salubrous Ths helps to deploy the case based reasonng to treat the patents prone to under and dfferently In ths regard ths anuscrpt attepted to defne etaheurstc approach on gene expresson data (MAGED to dscover the state of a gven gene expresson s prone to under and or salubrous The MAGED s achne learnng strategy that learns fro the labeled gene expresson data of Carda Vascular Dseased, Unstable Angna, Myocardal Infarcton and Salubrous cases III Metaheurstc Approach on Gene Expresson Data The obectve of the MAGED s to defne a etaheurstc scale by the nowledge ganed fro the gven gene expresson data In order to ths the gven gene expressons are parttoned nto ther respectve categores of coronary artery dsease (, unstable angna (, Myocardal Infarcton ( and salubrous (blood saples taen were dagnosed as healthy The data also ncludes gene expresson data collected fro the blood saples taen fro the people clncally proven as noral The genes nvolved n each gene expresson are consdered as features of the respectve category Snce the gene expresson contans dense nuber of genes and aorty of the ay be nsgnfcant to respectve category of the dsease Henceforth, the feature optzaton process (see sec 3 wll be carred out to elnate these nsgnfcant features The gene range wll be dscretzed further to copare two genes through equalty by approxaton (see sec 3 Afterwards the confdence of each feature towards all categores of gene expresson data wll be assessed (see sec 33 that follows the assessent of each gene expresson confdence aganst the features of all categores (see sec 34 Further the confdence obtaned for each feature and gene expresson of respectve category wll be used as nput to defne the etaheurstc scales to estate the scope of coronary artery dsease, the unstable angna and yocardal nfarcton a Feature Optzaton For each dsease context consdered, the gene expresson dataset D { e (, e (, e ( } of sze D D wll be consdered for tranng towards defnng etaheurstc scale Each gene expresson s representted by sequence of genes for the set of features selected of respectve dseases context Ths descrpton bnds to all datasets ofgene expressons representng coronary artery dseases, Unstable Angna, Myocardal Infarcton Let Dn { en (, en (,, en ( D n } be the set of gene expressons collected fro the blood saples of salubrous cases The sets F { f(, f(,, f( } and n F n F F { f( n, f( n,, f( n } are feature sets of gene expressons represented by D and Dn respectvely The attrbute set G( { g(, g(, g ( } be the set of genes as G ( values observed for feature f( of gene expressons represented by D Slarly the attrbute set G( n { g( n, g( n, g ( n } be the set of genes G( n as values observed for feature expressons represented by D n f( n of gene Snce the gene expresson s the cobnaton of nuerous count of genes, the sze of feature set can le to process coplexty In order to overcoe the 06 Global Journals Inc (US

4 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton process coplexty, the nsgnfcant features should be dentfed and dscarded The feature f( of F s s to be nsgnfcant feature, f genes G ( of f( are alost slar to the genes Gn ( of feature f( n of Fn Hence to dentfy the nsgnfcant features, we opt hang dstance that appled on genes of each feature as vectors fro each dsease and noral cases The hang dstance wth 0 or less than the gven threshold ndcates that the respectve feature s nsgnfcant The process of hang dstance s explored below: Hang Dstance The value of Hang Dstance obtaned here s to denote the dfference between genes assgned to sae feature fro gene expresson data of dseased and noral cases Ths s one of the sgnfcant strategy to assess the dfference between to eleents n codng theory The hang dstance between gven vectors CX { cx, cx,, cx n }& CY { cy, cy,, cy } of sze n and respectvely wll be easured as follows: Let CZ φ // s a vector of sze 0 foreach {,,3,ax( n } Begn f ({ cx cx CX} { cy cy CY } 0 then CZ { cx cx CX} { cy cy CY} Else hd CX CY CZ CZ CZ{} // hdcx CY s the hang dstance between CX and CY, CZ{} CZ s the th s the sze of the vector CZ eleent of the vector CZ and b Gene and Gene Expresson Confdence Assessent Then these genes found for each optal feature of respectve gene expresson data set and the gene expressons of that data set wll be used further to assess the gene and gene expresson confdence In order to ths, ntally the gene pars wll be defned such that each par contans two genes and each gene representng dfferent feature of the sae dataset Then we assess the assocatvty support of each gene par The assocatvty support can be descrbed as the rato of gene expressons contans that par aganst the total nuber of gene expressons n respectve dataset The process of assessng assocatvty support of each gene par s descrbed n followng secton (see sec 3 Assessng gene par correlaton Let P be the set and contans all possble unque gene pars fro respectve dataset D The possble unque gene pars wll found as follows: For each gene expresson e ( of respectve dataset D, fnd all possble unque pars of genes and d to P Then correlaton of each par{ p p P} as follows Let { g g p} and { gl gl p} be the two genes pared as{ p p P}, then the correlaton s( p of the par p s Assessng Gene and Gene Expresson Confdence In order to assess the confdence of genes and gene expressons of respectve gene expresson dataset D, a utual relaton graph wll be fored between gene expressons and genes of respectve D There wll be an edge between a gene and gene expresson f and only f the selected gene exsts n that gene expresson Then each edge between gene and gene expresson s weghted as follows G ( { g ( } g G Begn D l {( el g el (} Begn ( el s( p w 0 { g g el ( g g} Begn p { g, g } g wg ( + sp ( w g el ( wg ( el ( The weghts obtaned for edges between genes and gene expressons n utual graph are further used to assess the gene and gene expresson confdence towards respectve (coronary artery dsease, (unstable angna, (yocardal nfarcton and oral datasets Further we easure the each feature confdence towards gene expresson dataset follow G ( { g ( } G g Begn D v { { g, g} e ( } l v D //The rato of nuber of gene expressons contan both genesaganst total nuber of genes The correlaton of each par of genes found n gene expressons of each respectve gene expresson data set of coronary artery dsease, unstable angna, yocardal nfarcton and noral cases should be estated usng the process explored n sec 3 D g D c { wg ( e ( g D e (} D as 06 Global Journals Inc (US Year 06 3 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I

5 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton Year 06 4 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I //aggregatng the weght of gene g towards each gene expresson e ( of respectve dataset D and the sae s consdered as the respectve gene confdence towards dataset D Slarly each respectve gene expresson confdence towards gene expresson dataset D s easured as follows G ( D {( e D e (} Begn c { wg ( c e ( g D e (} e ( D g D //The su of product of each gene weght and the respectve gene confdence, such that the gene exsts n selectve gene expresson s the confdence of that gene expresson The confdence of genes and gene expressons of each respectve gene expresson data set of,, and salubrous cases should be estated usng the process explored n sec 3 c Defnng etaheurstcs to,, and Salubrous scope Further the confdence of gene expressons of gene expresson datasets D, D, D and D { ce( ( } D D e //Aggregate D ean of the respectve gene expressons confdence of coronary artery dsease gene expresson dataset D In order to dentfy the lower and upper bounds of, the ean absolute dstance of D s assessed as follows D ( ce( D D Then the lower and upper bounds of assessed as l // lower bound of u + // upper bound of Slarly etaheurstcs for (unstable angna, (Myocardal nfarcton and salubrous (healthy scope D { ce( ( } D D e //Aggregate D ean of the respectve gene expressons confdence of Unstable Angna gene expresson dataset D s The ean absolute dstance of D D s ( ce( D D Then the lower and upper bounds of assessed as l // lower bound of u + // upper bound of D s { ce( ( } D D e //Aggregate D ean of the respectve gene expressons confdence of yocardal Infarcton gene expresson dataset D The ean absolute dstance of D s D ( ce( D D Then the lower and upper bounds of assessed as l // lower bound of u + // upper bound of D { ce( ( } D D e //Aggregate ean of D the respectve gene expressons confdence of salubrous gene expresson dataset D The ean absolute dstance of D ( ce( D D D Then the lower and upper bounds of s assessed as l // lower bound of u + // upper bound of d Predctng the state of gene expresson The etaheurstcs devsed (see secton 33 wll be used further to assess the, and scope of a gven gene expresson e The confdence of gven gene expresson c G( D e G( D { cg wg ( g GD ( e g} s { cg ( ( } wg g GD // the aggregate of product of each gene confdence and weght of that exsts n GD ( and e, whch dvdes by the aggregate of confdence of all genes exsts n GD( s 06 Global Journals Inc (US

6 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton Further the confdence of e towards D, D and D assessed as : c { cg ( ( } w g g G e g G( e G( { cg ( ( } w g g G // the aggregate of product of each gene confdence and weght of that exsts n GD ( and e, whch dvdes by the aggregate of confdence of all genes exsts n GD ( c G( e G( { cg w( g g G( e g} { cg ( ( } w g g G // the aggregate of product of each gene confdence and weght of that exsts n GD ( and e, whch dvdes by the aggregate of confdence of all genes exsts n GD ( c G( { cg ( ( } wg g G e g e G( { cg ( ( } wg g G // the aggregate of product of each gene confdence and weght of that exsts n GD ( and e, whch dvdes by the aggregate of confdence of all genes exsts n GD ( Then these confdence values of gene expresson e wth respect to,, and wll be used to estate the gven expresson state s salubrous, prone to coronary artery dsease, Unstable Angna or Myocardal Infarcton accordng to the followng condtons ( c u ( c u ( c u e e e Coronary Artery Dsease Confred (hghly prone to ether of three dsease condtons ( c ( c l ( c l e e e Coronary Artery Dsease Confred (prone to and ether or both of the and ( ce l ( e If c l ( ce l ( ce < Then Prone to Coronary Artery Dsease ( ce < l ( e f c < l ( ce < l ( ce > Then Salubrous state Confred ( ce < ( e f c < ( ce < ( ce u Then Prone to Salubrous state IV Table : The etaheurstcs obtaned fro tranng data Tranng Set 834 (:4, :06,:07, : l u l u Experental Study The experental study was carred out on a set of gene expressons taen fro ultple benchar datasets [9] The nuber of gene expressons used are 4, whch are the cobnaton of coronary artery Dsease (86 expressons, Unstable Angna (75 expressons, Myocardal Infarcton (77 expressons and salubrous condton (76 expressons The gene expressons of respectve category are consdered as separate datasets labeled as D, D, D and D Each dataset D, D, D and D parttoned nto test and tranng sets The 75% of gene expressons of each dataset are consdered as tranng set and rest 5% of gene expressons consdered as test set The etaheurstcs obtaned fro the gven tranng set were explored n table Year 06 5 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I 06 Global Journals Inc (US

7 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton l u l u Table : The predcton statstcs of the SDS Year 06 6 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I True Postves True egatves False Postves False egatve Test Set, and gene expresson Predcton Value (postve predcton value, PPV Salubrous gene expresson Predcton Value (egatve Predcton value, PV Detecton Accuracy AD, and gene expresson predcton Rate (True Postve Rate Salubrous gene expresson Predcton rate (True egatve Rate The 80 (: 7, : 69, : 70, : 69 gene expressons were used to assess the predcton accuracy of the proposed MAGED The MAGED assessed the gven nput gene expressons such that 97gene expressons are true postves (the detecton of, and gene expressons are true, 5gene expressons are false postve (falsely detected as, or, 54gene expressons are true negatves (detectng gene expressons as salubrous s true and 4gene expressons are false negatve (detectng gene expressons as salubrous s false Hence the, or gene expresson predcton value (also nown as precson or postve predcton value s 093, Salubrous Gene Fgure : The predcton statstcs observed for MAGED 80 (:7, :69,:70, : Expresson predcton value s 079, the, and gene expresson detecton rate (also nown as senstvty s 093, the salubrous gene expresson detecton rate (also nown as specfcty s 078 and the overall success rate (also nown as accuracy, whch s the rato between true predcton of all types of gene expressons and all gven nuber of gene expressons s 090 These statstcs ndcatng that the MAGED s fnd to sgnfcant to dentfy the, and prone gene expressons wth success percentage of 93% (snce senstvty s 093, but the detecton of salubrous cases, the success rate s 78% (snce specfcty s 078 The coputer ed edcal dagnoss should 06 Global Journals Inc (US

8 MAGED: Metaheurstc Approach on Gene Expresson Data: Predctng the Coronary Artery Dsease and The Scope of Unstable Angna and Myocardal Infarcton be ore robust to delver hgh senstvty at the cost of specfcty Hence the Model MAGED s scalable and robust to predct the, and prone gene expressonsthe predcton statstcs observed fro the experental study of the MAGED are vsualzed n fg V Concluson Ths paper ntroduced a learnng odel that devce heurstcs to scale the gven patent record s dsease prone or noral The proposed learnng odel delvers two heurstcs called Scale to Dseased health Scope and Scale to oral Health Scope In contrast to the exstng bencharng odels, these heurstcs are further used as scales to assess the gven patent record s dsease prone or noral The edcal records labeled as dseased and noral are used to devce the heurstcs sdhs and snhs respectvely In order to ths all unque values of all the attrbutes are consdered as features, and then the nfluence weght of these features towards ther respectve datasets The nfluence weghts further wll be used to assess the nfluence weght of the each record n dataset Fro these nfluence weghts of the records of respectve dataset wll be used to assess the proposed heurstcs The experental results are optstc and concludng the predcton accuracy and robustness Ths wor can be extended to dentfy the pact of feature correlaton towards nzng the process and coputatonal coplexty of the learnng process References Références Referencas Mozaffaran D, Benan EJ, Go AS, Arnett DK, Blaha MJ, Cushan M, et al Heart dsease and stroe statstcs 05 update: a report fro the Aercan Heart Assocaton Crc 05; 3:9 3 Mends, S, Thygesen, K, Kuulasaa, K, Gapaol, S, Mähönen, M, Blacett, K, & Lsheng, L (0 World Health Organzaton defnton of yocardal nfarcton: revson Internatonal ournal of epdeology,40(, Thygesen K, Alpert JS, Whte HD Unversal defnton of yocardal nfarcton Europ Heart J 007; 8: Eggers KM, Lnd L, Venge P, Lndahl B Wll the unversal defnton of yocardal nfarcton crtera result n an over dagnoss of yocardal nfarcton? The Aer J of Card 009; 03: Wang Z, Luo X, Lu Y, Yang B RAs at the heart of the atter J of Mol Med 008; 86: de Planell-Saguer M, Rodco MC Detecton ethods for croras n clnc practce Cln Boche 03; 46: do: 006/clnbo che03007 PD: Melander O, ewton-cheh C, Algren P, Hedbl B, Berglund G, Engströ G, et al ovel and conventonal boarers for predcton of ncdent cardovascular events n the county The J of the Aer Med Assoc 009; 30: Shah T, Casas JP, Cooper JA, Tzoula I, Sofat R, McCorac V, et al Crtcal apprasal of CRP easureent for the predcton of coronary heart dsease events: new data and systeatc revew of 3 prospectve cohorts Inter J of Epd 009; 38: Wlson PWF, Pencna M, Jacques P, Selhub J, D Agostno R, O Donnell CJ C-reactve proten and reclassfcaton of cardovascular rs n the Frangha Heart Study Crc: Card Qual and Outc 008; : Pedrotty DM, Morley MP, Cappola TP Transcrptoc boarers of cardovascular dsease Prog n Card Ds 0; 55: Rand AM, Bguzz E, Falcan F, Merln P, Blaeore S, Braucc E, et al Identfcaton of dfferentally expressed genes n coronary atherosclerotc plaques fro patents wth stable or unstable angna by cda array analyss J of Thro and Hae 003; : Archac S, Anghelou G, Tan XL, Tan FL, DPaola, Shen GQ, et al Identfcaton of new genes dfferentally expressed n coronary artery dsease by expresson proflng Phys Geno 003; 5: Elashoff MR, Wngrove JA, Benee P, Danels SE, Tngley WG, Rosenberg S, et al Developent of a blood-based gene expresson algorth for assessent of obstructve coronary artery dsease n nondabetc patents BMC Med Geno 0; 4: Kttleson MM, Ye SQ, Irzarry RA, Mnhas KM, Edness G, Conte JV, et al Identfcaton of a gene expresson profle that dfferentates between schec and nonschec cardoyopathy Crc 004; 0: Kttleson MM, Mnhas KM, Irzarry RA, Ye SQ, Edness G, Breton E, et al Gene expresson analyss of schec and nonschec cardoyopathy: shared and dstnct genes n the developent of heart falure Phys Geno 005; : Mn KD, Asaura M, Lao Y, aaaru K, Oaza H, Taahash T, et al Identfcaton of genes related to heart falure usng global gene expresson proflng of huan falng yocardu Boch and Bophy Res Co 00; 393: Suresh R, L X, Chrac A, Goel K, Terzc A, Perez- Terzc C, et al Transcrptoe fro crculatng cells suggests dysregulated pathways assocated wth long-ter recurrent events followng frst-te yocardal nfarcton J of Mol and Cell Card 04; 74: 3 8 Lew CC, Ma J, Tang HC, Zheng R, Depsey AA The perpheral blood transcrptoe dynacally reflects syste wde bology: a potental dagnostc tool The J of Lab and Cln Med 006; 47: 6 [3] 9 Year 06 7 Global Journal of Coputer Scence and Technology ( Volue XVI Issue IV Verson I 06 Global Journals Inc (US