|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
|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
|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
|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
|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
|Identifying comparative structures in biomedical text|
S Gupta, ASMA Mahmood, K Ross, C Wu, K Vijay-Shanker
BioNLP 2017, 206-215, 2017
|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), 1-15, 2016
|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
|DEXTER: disease-expression relation extraction from text|
S Gupta, H Dingerdissen, KE Ross, Y Hu, CH Wu, R Mazumder, ...
Database 2018, 2018
|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
|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
|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), 1-17, 2021
|emiRIT: a text-mining-based resource for microRNA information|
D Roychowdhury, S Gupta, X Qin, CN Arighi, K Vijay-Shanker
Database 2021, 2021
|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
|Extraction of Knowledge for Micrornas and Genes: Extracting Connections Through Association, Involvement, and Regulation|
University of Delaware, 2021
|Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning|
S Gupta, A Belouali, N Shah, M Atkins, S Madhavan
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-2, 2020
|LEVERAGING THE ELECTRONIC HEALTH RECORD TO PERFORM TARGETED SCREENING FOR FAMILIAL HYPERCHOLESTEROLEMIA WITHIN A LARGE HEALTHCARE SYSTEM|
S Sheth, S Gupta, S Fernandez, S Madhavan, JD Vargas
Journal of the American College of Cardiology 75 (11_Supplement_1), 1939-1939, 2020
|MACE2K: A Text-Mining Tool to Extract Literature-based Evidence for Variant Interpretation using Machine Learning|
S Gupta, S Rao, T Miglani, Y Iyer, J Lin, AM Saiyed, I Ikwuemesi, ...
|Prototype open-access biomarker knowledgebase for genetic tests for breast cancer|
D Baker, NF Abrams, A Bell, M Colbert, H Dingerdissen, E Holmes, ...
Cancer Research 79 (13 Supplement), 2463-2463, 2019
|miRiaD: A Text Mining Tool for Detecting Associations of microRNAs with Diseases|
KE Ross, K Vijay-Shanker, CO Tudor, S Gupta, CJ Schmidt, CH Wu
Biomed Central Ltd, 2016