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 | 633* | 2020 |
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 | 113 | 2022 |
A Survey on Cross‐Virtuality Analytics B Fröhler, C Anthes, F Pointecker, J Friedl, D Schwajda, A Riegler, ... Computer Graphics Forum, 2022 | 68 | 2022 |
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 | 64 | 2021 |
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 | 56 | 2015 |
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 | 51 | 2021 |
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 | 50 | 2013 |
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 | 46 | 2014 |
Cross-Virtuality Visualization, Interaction and Collaboration A Riegler, C Anthes, HC Jetter, C Heinzl, C Holzmann, J Herbert, ... | 44* | |
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 | 41 | 2021 |
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 | 41 | 2016 |
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 | 36 | 2018 |
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 | 33 | 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 | 28 | 2012 |
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 | 26 | 2020 |
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 | 23 | 2019 |
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 | 23 | 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 | 21 | 2017 |
Large-scale evaluation of molecular descriptors by means of clustering M Dehmer, F Emmert-Streib, S Tripathi PloS one 8 (12), 2013 | 21 | 2013 |
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 | 20 | 2020 |