Arjun Krishnan

2011-2016 Computational Math, Sci Egr Michigan State University, East Lansing, MI 
"Arjun Krishnan"
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Lee YS, Krishnan A, Oughtred R, et al. (2019) A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems
Wong AK, Krishnan A, Troyanskaya OG. (2018) GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. Nucleic Acids Research
Rangan AV, McGrouther CC, Kelsoe J, et al. (2018) A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. Plos Computational Biology. 14: e1006105
Krishnan A, Gupta C, Ambavaram MMR, et al. (2017) RECoN: Rice Environment Coexpression Network for Systems Level Analysis of Abiotic-Stress Response. Frontiers in Plant Science. 8: 1640
Krishnan A, Zhang R, Yao V, et al. (2016) Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience
Wong AK, Krishnan A, Yao V, et al. (2015) IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 43: W128-33
Goya J, Wong AK, Yao V, et al. (2015) FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Research. 43: W182-7
Greene CS, Krishnan A, Wong AK, et al. (2015) Understanding multicellular function and disease with human tissue-specific networks. Nature Genetics. 47: 569-76
Chikina MD, Gerald CP, Li X, et al. (2015) Low-variance RNAs identify Parkinson's disease molecular signature in blood. Movement Disorders : Official Journal of the Movement Disorder Society. 30: 813-21
Zhu Q, Wong AK, Krishnan A, et al. (2015) Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nature Methods. 12: 211-4, 3 p following
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