The impact of rare variation on gene expression across tissues.
Xin LiYungil KimEmily K. TsangJoe R. DavisFarhan N. DamaniColby ChiangGaelen T. HessZachary ZappalaBenjamin J. StroberAlexandra J. ScottAmy LiAndrea GannaMichael C. BassikJason D. MerkerFrançois AguetKristin G. ArdlieBeryl B. CummingsEllen T. GelfandGad GetzKane HadleyRobert E. HandsakerKatherine H. HuangSeva KashinKonrad J. KarczewskiMonkol LekXiao LiDaniel G. MacArthurJared L. NedzelDuyen T. NguyenMichael S. NobleAyellet V. SegrèCasandra A. TrowbridgeTaru TukiainenNathan S. AbellBrunilda BalliuRuth BarshirOmer BashaAlexis BattleGireesh K. BoguAndrew BrownChristopher D. BrownStephane E. CastelLin S. ChenDonald F. ConradNancy J. CoxOlivier DelaneauEmmanouil T. DermitzakisBarbara E. EngelhardtEleazar EskinPedro G. FerreiraLaure FrésardEric R. GamazonDiego Garrido-MartínAriel D. H. GewirtzGenna GlinerMichael J. GloudemansRoderic GuigóIra M. HallBuhm HanYuan HeFarhad HormozdiariCedric HowaldHae Kyung ImBrian JoEun Yong KangSarah Kim-HellmuthTuuli LappalainenGen LiBoxiang LiuSerghei MangulMark I. McCarthyIan C. McDowellPejman MohammadiJean MonlongStephen B. MontgomeryPublished in: Nat. (2017)
Keyphrases
- gene expression
- microarray
- gene expression data
- microarray data
- biological processes
- high throughput
- gene regulation
- drosophila melanogaster
- gene expression patterns
- gene expression data analysis
- gene expression profiles
- gene expression analysis
- gene selection
- regulatory networks
- functional genomics
- gene expression data sets
- binding sites
- tissue samples
- biological networks
- analysis of gene expression
- microarray data analysis
- machine learning