Unsupervised learning algorithms ME Celebi, K Aydin Springer 9, 103, 2016 | 360 | 2016 |
Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 273* | 2019 |
The future of sleep health: a data-driven revolution in sleep science and medicine I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ... NPJ digital medicine 3 (1), 42, 2020 | 210 | 2020 |
DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction S Khurana, R Rawi, K Kunji, GY Chuang, H Bensmail, R Mall Bioinformatics, 2018 | 183 | 2018 |
A metabolic function of FGFR3-TACC3 gene fusions in cancer V Frattini, SM Pagnotta, Tala, JJ Fan, MV Russo, SB Lee, L Garofano, ... Nature 553 (7687), 222-227, 2018 | 160 | 2018 |
Fasting-Mimicking Diet Is Safe and Reshapes Metabolism and Antitumor Immunity in Patients with Cancer C Vernieri, G Fuca, F Ligorio, V Huber, A Vingiani, F Iannelli, A Raimondi, ... Cancer Discovery 12 (1), 90-107, 2022 | 145 | 2022 |
Discovering cluster dynamics using kernel spectral methods R Langone, R Mall, J Vandewalle, JAK Suykens | 106* | 2014 |
ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infection R Karki*, SJ Lee*, R Mall, N Pandian, Y Wang, BR Sharma, ... Science Immunology, eabo6294, 2022 | 103 | 2022 |
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine R Rawi, R Mall, K Kunji, CH Shen, PD Kwong, GY Chuang Bioinformatics 34 (7), 1092-1098, 2018 | 92 | 2018 |
Very Sparse LSSVM Reductions for Large Scale Data R Mall, JAK Suykens IEEE Transactions of Neural Networks and Learning Systems, 2014 | 88 | 2014 |
Kernel spectral clustering for big data networks R Mall, R Langone, JAK Suykens Entropy 15 (5), 1567-1586, 2013 | 88 | 2013 |
Benchmark on a large cohort for sleep-wake classification with machine learning techniques J Palotti, R Mall, M Aupetit, M Rueschman, M Singh, A Sathyanarayana, ... NPJ digital medicine 2 (1), 50, 2019 | 82 | 2019 |
Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response J Roelands, W Hendrickx, G Zoppoli, R Mall, M Saad, K Halliwill, ... Journal for immunotherapy of cancer 8 (1), 2020 | 67 | 2020 |
NLRP12-PANoptosome activates PANoptosis and pathology in response to heme and PAMPs B Sundaram, N Pandian, R Mall, Y Wang, R Sarkar, HJ Kim, ... Cell 186 (13), 2783-2801. e20, 2023 | 66 | 2023 |
Multi-class semi-supervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE TNNLS, 2014 | 60 | 2014 |
Exploring New Approaches towards the Formability of Mixed-Ion Perovskite by DFT and Machine Learning H Park, R Mall, FH Alharbi, S Sanvito, N Tabet, H Bensmail, F El-Mellouhi Physical Chemistry Chemical Physics, 2018 | 58 | 2018 |
RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes R Mall, L Cerulo, L Garofano, V Frattini, K Kunji, H Bensmail, TS Sabedot, ... Nucleic acids research 46 (7), e39-e39, 2018 | 51 | 2018 |
DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction A Elbasir, B Moovarkumudalvan, K Kunji, PR Kolatkar, H Bensmail, R Mall Bioinformatics, 2018 | 49 | 2018 |
Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films A Ali, H Park, R Mall, B Aïssa, S Sanvito, H Bensmail, A Belaidi, ... Chemistry of Materials 32 (7), 2998-3006, 2020 | 48 | 2020 |
Variations to incremental growing neural gas algorithm based on label maximization JC Lamirel, R Mall, P Cuxac, G Safi The 2011 International Joint Conference on Neural Networks, 956-965, 2011 | 43 | 2011 |