| The sbv IMPROVER systems toxicology computational challenge: identification of human and species-independent blood response markers as predictors of smoking exposure and … V Belcastro, C Poussin, Y Xiang, M Giordano, KP Tripathi, A Boda, ... Computational Toxicology 5, 38-51, 2018 | 14 | 2018 |
| Temporal dynamics of the multi-omic response to endurance exercise training across tissues MoTrPAC Study Group, D Amar, NR Gay, PM Jean Beltran, JN Adkins, ... BioRxiv, 2022.09. 21.508770, 2022 | 12 | 2022 |
| DeepInterface: protein-protein interface validation using 3D convolutional neural networks AT Balci, C Gumeli, A Hakouz, D Yuret, O Keskin, A Gursoy BiorXiv, 617506, 2019 | 8 | 2019 |
| An intrinsically interpretable neural network architecture for sequence-to-function learning AT Balcı, MM Ebeid, PV Benos, D Kostka, M Chikina Bioinformatics 39 (Supplement_1), i413-i422, 2023 | 1 | 2023 |
| Species translatable blood gene signature as a marker of exposure to smoking: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challenge ÖS Saraç, R Kumar, SK Dhanda, AT Balcı, İ Bilgen, R Romero, AL Tarca Computational Toxicology 5, 25-30, 2018 | 1 | 2018 |
| L0 segmentation enables data-driven concise representations of diverse epigenomic data AT Balcı, M Chikina bioRxiv, 2023.01. 26.525794, 2023 | | 2023 |
| Fast screening algorithms for protein interface structural alignments AT Balci | | 2018 |
| Computational Toxicology V Belcastro, C Poussin, Y Xiang, M Giordano, KP Tripathi, A Boda, ... | | 2017 |
