Gaurav Pandey
Zitiert von
Zitiert von
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
Deciphering the transcriptional network of the dendritic cell lineage
JC Miller, BD Brown, T Shay, EL Gautier, V Jojic, A Cohain, G Pandey, ...
Nature immunology 13 (9), 888, 2012
Enhancing data analysis with noise removal
H Xiong, G Pandey, M Steinbach, V Kumar
IEEE Transactions on Knowledge and Data Engineering 18 (3), 304-319, 2006
Endothelial to mesenchymal transition is common in atherosclerotic lesions and is associated with plaque instability
SM Evrard, L Lecce, KC Michelis, A Nomura-Kitabayashi, G Pandey, ...
Nature communications 7 (1), 1-16, 2016
Computational approaches for protein function prediction: A survey
G Pandey, V Kumar, M Steinbach
Analysis of transcriptional variability in a large human iPSC library reveals genetic and non-genetic determinants of heterogeneity
I Carcamo-Orive, GE Hoffman, P Cundiff, ND Beckmann, SL D’Souza, ...
Cell stem cell 20 (4), 518-532. e9, 2017
TANSEN: A System for Automatic Raga Identification.
G Pandey, C Mishra, P Ipe
IICAI, 1350-1363, 2003
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Incorporating functional inter-relationships into protein function prediction algorithms
G Pandey, CL Myers, V Kumar
BMC bioinformatics 10 (1), 1-22, 2009
Improving breast cancer survival analysis through competition-based multidimensional modeling
E Bilal, J Dutkowski, J Guinney, IS Jang, BA Logsdon, G Pandey, ...
PLoS Comput Biol 9 (5), e1003047, 2013
An association analysis approach to biclustering
G Pandey, G Atluri, M Steinbach, CL Myers, V Kumar
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers
ME Ahsen, Y Chun, A Grishin, G Grishina, G Stolovitzky, G Pandey, ...
Scientific Reports 9, 12970, 2019
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7 (1), 1-10, 2016
An integrative multi-network and multi-classifier approach to predict genetic interactions
G Pandey, B Zhang, AN Chang, CL Myers, J Zhu, V Kumar, EE Schadt
PLoS computational biology 6 (9), e1000928, 2010
Putting genetic interactions in context through a global modular decomposition
J Bellay, G Atluri, TL Sing, K Toufighi, M Costanzo, PSM Ribeiro, ...
Genome research 21 (8), 1375-1387, 2011
Subspace differential coexpression analysis: problem definition and a general approach
G Fang, R Kuang, G Pandey, M Steinbach, CL Myers, V Kumar
Biocomputing 2010, 145-156, 2010
Microbiota regulate the ability of lung dendritic cells to induce IgA class-switch recombination and generate protective gastrointestinal immune responses
D Ruane, A Chorny, H Lee, J Faith, G Pandey, M Shan, N Simchoni, ...
Journal of Experimental Medicine 213 (1), 53-73, 2016
Mining low-support discriminative patterns from dense and high-dimensional data
G Fang, G Pandey, W Wang, M Gupta, M Steinbach, V Kumar
IEEE Transactions on Knowledge and Data Engineering 24 (2), 279-294, 2010
A comparative analysis of ensemble classifiers: case studies in genomics
S Whalen, G Pandey
2013 IEEE 13th International Conference on Data Mining, 807-816, 2013
Breast imaging in the era of big data: structured reporting and data mining
LR Margolies, G Pandey, ER Horowitz, DS Mendelson
American journal of roentgenology 206 (2), 259-264, 2016
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