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Shailesh Tripathi
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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
523*2020
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
532015
A Survey on Cross‐Virtuality Analytics
B Fröhler, C Anthes, F Pointecker, J Friedl, D Schwajda, A Riegler, ...
Computer Graphics Forum, 2022
482022
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
482013
The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals
N Bachmann, S Tripathi, M Brunner, H Jodlbauer
Sustainability 14 (5), 2497, 2022
472022
A data-centric review of deep transfer learning with applications to text data
S Bashath, N Perera, S Tripathi, K Manjang, M Dehmer, FE Streib
Information Sciences, 2021
472021
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
452014
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
402016
Ensuring the robustness and reliability of data-driven knowledge discovery models in production and manufacturing
S Tripathi, D Muhr, M Brunner, H Jodlbauer, M Dehmer, F Emmert-Streib
Frontiers in artificial intelligence 4, 22, 2021
392021
Cross-Virtuality Visualization, Interaction and Collaboration
A Riegler, C Anthes, HC Jetter, C Heinzl, C Holzmann, J Herbert, ...
39*
Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning
K Manjang, S Tripathi, O Yli-Harja, M Dehmer, G Glazko, F Emmert-Streib
Scientific reports 11 (1), 1-18, 2021
322021
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
312013
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
282012
Graph-based exploitation of gene ontology using GOxploreR for scrutinizing biological significance
K Manjang, S Tripathi, O Yli-Harja, M Dehmer, F Emmert-Streib
Scientific Reports 10 (1), 1-16, 2020
222020
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
222012
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
212018
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
212017
Assessment method for a power analysis to identify differentially expressed pathways
S Tripathi, F Emmert-Streib
PloS one 7 (5), 2012
202012
An introductory review of deep learning for prediction models with big data. Frontiers in Artificial Intelligence, 3, 4
F Emmert-Streib, Z Yang, H Feng, S Tripathi, M Dehmer
192020
Large-scale evaluation of molecular descriptors by means of clustering
M Dehmer, F Emmert-Streib, S Tripathi
PloS one 8 (12), 2013
182013
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Artiklar 1–20