Automatically mining software-based, semantically-similar words from comment-code mappings MJ Howard, S Gupta, L Pollock, K Vijay-Shanker 2013 10th working conference on mining software repositories (MSR), 377-386, 2013 | 117 | 2013 |
Part-of-speech tagging of program identifiers for improved text-based software engineering tools S Gupta, S Malik, L Pollock, K Vijay-Shanker 2013 21st International Conference on Program Comprehension (ICPC), 3-12, 2013 | 101 | 2013 |
OncoMX: a knowledgebase for exploring cancer biomarkers in the context of related cancer and healthy data HM Dingerdissen, F Bastian, K Vijay-Shanker, M Robinson-Rechavi, ... JCO clinical cancer informatics 4, 210-220, 2020 | 42 | 2020 |
Acoustic and language analysis of speech for suicidal ideation among US veterans A Belouali, S Gupta, V Sourirajan, J Yu, N Allen, A Alaoui, MA Dutton, ... BioData mining 14, 1-17, 2021 | 36 | 2021 |
Collaborative, multidisciplinary evaluation of cancer variants through virtual molecular tumor boards informs local clinical practices S Rao, B Pitel, AH Wagner, SM Boca, M McCoy, I King, S Gupta, BH Park, ... JCO clinical cancer informatics 4, 602-613, 2020 | 35 | 2020 |
Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis Y Hu, H Dingerdissen, S Gupta, R Kahsay, V Shanker, Q Wan, C Yan, ... Computers in biology and medicine 103, 183-197, 2018 | 35 | 2018 |
An extended dependency graph for relation extraction in biomedical texts Y Peng, S Gupta, C Wu, K Vijay-Shanker Proceedings of BioNLP 15, 21-30, 2015 | 31 | 2015 |
miRiaD: a text mining tool for detecting associations of microRNAs with diseases S Gupta, KE Ross, CO Tudor, CH Wu, CJ Schmidt, K Vijay-Shanker Journal of biomedical semantics 7, 1-15, 2016 | 23 | 2016 |
Identifying comparative structures in biomedical text S Gupta, ASMA Mahmood, K Ross, C Wu, K Vijay-Shanker BioNLP 2017, 206-215, 2017 | 22 | 2017 |
DEXTER: disease-expression relation extraction from text S Gupta, H Dingerdissen, KE Ross, Y Hu, CH Wu, R Mazumder, ... Database 2018, bay045, 2018 | 21 | 2018 |
Automated identification of patients with immune-related adverse events from clinical notes using word embedding and machine learning S Gupta, A Belouali, NJ Shah, MB Atkins, S Madhavan JCO Clinical Cancer Informatics 5, 541-549, 2021 | 14 | 2021 |
emiRIT: a text-mining-based resource for microRNA information D Roychowdhury, S Gupta, X Qin, CN Arighi, K Vijay-Shanker Database 2021, baab031, 2021 | 11 | 2021 |
Junlg-msr: A machine learning approach of main subject reference selection with rule based improvement S Gupta, S Bandyopadhyay Proceedings of the 2009 Workshop on Language Generation and Summarisation …, 2009 | 4 | 2009 |
Patient-reported data augment prediction models of persistent opioid use after elective upper extremity surgery AM Giladi, MM Shipp, KK Sanghavi, G Zhang, S Gupta, KE Miller, ... Plastic and Reconstructive Surgery 152 (2), 358e-366e, 2023 | 3 | 2023 |
Automatically Identifying Biological Functions of microRNAs from the Literature S Gupta, CO Tudor, CH Wu, CJ Schmidt, K Vijay-Shanker 6th International Symposium on Semantic Mining in Biomedicine (SMBM 2014), 75–78, 2014 | 2 | 2014 |
1418 Treatment-free survival in patients with advanced melanoma and non-small cell lung cancer receiving immune checkpoint inhibitors: real-world outcomes over a 3-year timespan J Zaemes, SL Ari, L Pascual, OA Jegede, N Arias-Orozco, B Sinclaire, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | 1 | 2023 |
Real-world Studies Link NSAID Use to Improved Overall Lung Cancer Survival J Roszik, JJ Lee, YH Wu, X Liu, M Kawakami, JM Kurie, A Belouali, ... Cancer research communications 2 (7), 590-601, 2022 | 1 | 2022 |
1317 Enhancing patient safety in melanoma treatment: harnessing machine learning for predicting immune-related adverse events Y Zhang, SL Ari, S Gupta, J Zaemes, NJ Shah, A Alaoui, S Madhavan, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
eMIND: Enabling automatic collection of protein variation impacts in Alzheimer's disease from the literature S Gupta, X Qin, Q Wang, J Cowart, H Huang, CH Wu, K Vijay-Shanker, ... bioRxiv, 2023.09. 07.556602, 2023 | | 2023 |
1303 Prediction of best response for NSCLC patients receiving immunotherapy by machine learning models Y Zhang, S Gupta, A Belouali, S Lev-Ari, N Shah, K Krishnamurthy, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |