Shailesh Tripathi
Shailesh Tripathi
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα
Παρατίθεται από
Παρατίθεται από
An Introductory Review of Deep Learning for Prediction Models With Big Data. Front
F Emmert-Streib, Z Yang, H Feng, S Tripathi, M Dehmer
Artif. Intell 3 (4), 2020
The human disease network: Opportunities for classification, diagnosis, and prediction of disorders and disease genes
F Emmert-Streib, S Tripathi, RM Simoes, AF Hawwa, M Dehmer
Systems Biomedicine 1 (1), 20-28, 2013
Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential for clinical utility
MA Alvi, DG McArt, P Kelly, MA Fuchs, M Alderdice, CM McCabe, ...
Oncotarget 6 (25), 20863, 2015
NetBioV: an R package for visualizing large network data in biology and medicine
S Tripathi, M Dehmer, F Emmert-Streib
Bioinformatics 30 (19), 2834-2836, 2014
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules
S Tripathi, S Moutari, M Dehmer, F Emmert-Streib
BMC bioinformatics 17 (1), 129, 2016
Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential
S Tripathi, GV Glazko, F Emmert-Streib
Nucleic acids research 41 (7), e82-e82, 2013
Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods
F Emmert-Streib, S Tripathi, R de Matos Simoes
Biology direct 7 (1), 44, 2012
Assessment method for a power analysis to identify differentially expressed pathways
S Tripathi, F Emmert-Streib
PloS one 7 (5), 2012
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma
R de Matos Simoes, S Tripathi, F Emmert-Streib
BMC systems biology 6 (1), 38, 2012
Computational Analysis of the structural properties of Economic and Financial Networks
F Emmert-Streib, A Musa, K Baltakys, J Kanniainen, S Tripathi, O Yli-Harja, ...
arXiv preprint arXiv:1710.04455, 2017
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters
S Tripathi, J Lloyd-Price, A Ribeiro, O Yli-Harja, M Dehmer, ...
BMC bioinformatics 18 (1), 325, 2017
Large-scale evaluation of molecular descriptors by means of clustering
M Dehmer, F Emmert-Streib, S Tripathi
PloS one 8 (12), 2013
Harnessing the biological complexity of Big Data from LINCS gene expression signatures.
A Musa, S Tripathi, M Kandhavelu, M Dehmer, F Emmert-Streib
PloS one 13 (8), 2018
Highly Unique Network Descriptors Based on the Roots of the Permanental Polynomial
M Dehmer, F Emmert-Streib, B Hu, Y Shi, M Stefu, S Tripathi
Information Sciences, 2017
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files
A Stupnikov, S Tripathi, R de Matos Simoes, D McArt, M Salto-Tellez, ...
Bioinformatics 32 (21), 3345-3347, 2016
Systems pharmacogenomic landscape of drug similarities from LINCS data: drug association networks
A Musa, S Tripathi, M Dehmer, O Yli-Harja, SA Kauffman, F Emmert-Streib
Scientific reports 9 (1), 1-16, 2019
Understanding the world economy in terms of networks: A survey of data-based network science approaches on economic networks
F Emmert-Streib, S Tripathi, OP Yli-Harja, M Dehmer
Frontiers in Applied Mathematics and Statistics 4, 37, 2018
L1000 Viewer: A search engine and web interface for the LINCS data repository
A Musa, S Tripathi, M Dehmer, F Emmert-Streib
Frontiers in genetics 10, 2019
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach
M Dehmer, Z Chen, F Emmert-Streib, A Mowshowitz, Y Shi, S Tripathi, ...
Information Sciences 471, 19-28, 2019
Graph measures with high discrimination power revisited: A random polynomial approach
M Dehmer, Z Chen, F Emmert-Streib, Y Shi, S Tripathi
Information Sciences 467, 407-414, 2018
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