| Estimating the class prior and posterior from noisy positives and unlabeled data S Jain, M White, P Radivojac Advances in Neural Information Processing Systems, 2693-2701, 2016 | 135 | 2016 |
| Recovering true classifier performance in positive-unlabeled learning S Jain, M White, P Radivojac Thirty-First AAAI Conference on Artificial Intelligence, 2066-2072, 2017 | 86 | 2017 |
| Nonparametric semi-supervised learning of class proportions S Jain, M White, MW Trosset, P Radivojac arXiv preprint arXiv:1601.01944, 2016 | 67 | 2016 |
| Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting D Zeiberg, S Jain, P Radivojac Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 29 | 2020 |
| The loss and gain of functional amino acid residues is a common mechanism causing human inherited disease J Lugo-Martinez, V Pejaver, KA Pagel, S Jain, M Mort, DN Cooper, ... PLoS Computational Biology 12 (8), e1005091, 2016 | 25 | 2016 |
| Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies. R Ramola, S Jain, P Radivojac Pacific Symposium on Biocomputing, 124-135, 2019 | 19 | 2019 |
| Class Prior Estimation with Biased Positives and Unlabeled Examples S Jain, DJ Delano, H Sharma, P Radivojac Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 18 | 2020 |
| New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics Y Peng, S Jain, YF Li, M Greguš, AR Ivanov, O Vitek, P Radivojac Bioinformatics 36 (Supplement_2), i745-i753, 2020 | 11 | 2020 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods S Jain, C Bakolitsa, SE Brenner, P Radivojac, J Moult, S Repo, ... Genome Biology 25 (1), 2024 | 5 | 2024 |
| Using Association Rules to Understand the Risk of Adverse Pregnancy Outcomes in a Diverse Population H Chu, R Ramola, S Jain, DM Haas, S Natarajan, P Radivojac PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 5 | 2022 |
| An approach to identifying and quantifying bias in biomedical data MC De Paolis Kaluza, S Jain, P Radivojac PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 3 | 2022 |
| Identifiability of two‐component skew normal mixtures with one known component S Jain, M Levine, P Radivojac, MW Trosset Scandinavian Journal of Statistics, 2019 | 3 | 2019 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome Interpretation Consortium arXiv e-prints, arXiv: 2205.05897, 2022 | 2 | 2022 |
| Multi-objective prioritization of genes for high-throughput functional assays towards improved clinical variant classification Y Chen, S Jain, D Zeiberg, LM Iakoucheva, SD Mooney, P Radivojac, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 2 | 2022 |
| February 2017 S Jain, M White, P Radivojac Recovering true classifier performance in positive-unlabeled learning In …, 2017 | 2 | 2017 |
| Leveraging structure for improved classification of grouped biased data D Zeiberg, S Jain, P Radivojac Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11113 …, 2023 | 1 | 2023 |
| Algorithms and Approaches for Positive-Unlabeled Learning S Jain Indiana University, 2018 | 1 | 2018 |
| Evaluating predictors of kinase activity of STK11 variants identified in primary human non-small cell lung cancers Y Chen, K Lee, J Woo, D Kim, C Keum, G Babbi, R Casadio, PL Martelli, ... | | 2024 |
| An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics Y Peng, S Jain, P Radivojac Bioinformatics 40 (Supplement_1), i428-i436, 2024 | | 2024 |
| Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A S Jain, M Trinidad, TB Nguyen, K Jones, SD Neto, F Ge, A Glagovsky, ... bioRxiv, 2024 | | 2024 |
