Nigam Shah

92 papers A* 8B 1Misc 20Journal 37Unranked 23
YearRankTypeTitle / Venue / Authors
2025 A* conf
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data.
ICLR
Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam Shah
2025 J jnl
Evaluating transparency in AI/ML model characteristics for FDA-reviewed medical devices.
npj Digit. Medicine
Viraj Mehta, Abhinav Komanduri, Rishabh Singh Bhadouriya, Vilina Mehta, Michael David Johnson, Priyanka Shrestha, Margaret Nikolov, Bhav Jain, Nigam Shah, Kevin Schulman
2025 — conf
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs.
MLHC
Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah
2025 J jnl
Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
npj Digit. Medicine
Crystal T. Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A. Omiye, Akaash Kolluri, Akash Chaurasia, Alejandro Lozano, Alice Heiman, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou
2025 J jnl
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology.
CoRR
Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis P. Langlotz, Andrew Y. Ng, Jeanne Shen
2025 J jnl
TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records.
CoRR
Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam Shah
2025 A* conf
Time-to-Event Pretraining for 3D Medical Imaging.
ICLR
Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam Shah
2025 J jnl
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records.
CoRR
Philip Chung, Akshay Swaminathan, Alex J. Goodell, Yeasul Kim, S. Momsen Reincke, Lichy Han, Ben Deverett, Mohammad Amin Sadeghi, Abdel-Badih Ariss, Marc Ghanem, David Seong, Andrew A. Lee, Caitlin E. Coombes, Brad Bradshaw, Mahir A. Sufian, Hyo Jung Hong, Teresa P. Nguyen, Mohammad R. Rasouli, Komal Kamra, Mark A. Burbridge, James McAvoy, Roya Saffary, Stephen P. Ma, Dev Dash, James Xie, Ellen Y. Wang, Clifford A. Schmiesing, Nigam Shah, Nima Aghaeepour
2024 J jnl
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.
CoRR
Ting Fang Tan, Kabilan Elangovan, Jasmine Chiat Ling Ong, Nigam Shah, Joseph Jao Yiu Sung, Tien Yin Wong, Lan Xue, Nan Liu, Haibo Wang, Chang Fu Kuo, Simon Chesterman, Zee Kin Yeong, Daniel S. W. Ting
2024 J jnl
A multi-center study on the adaptability of a shared foundation model for electronic health records.
npj Digit. Medicine
Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2024 J jnl
Assessing the Limitations of Large Language Models in Clinical Fact Decomposition.
CoRR
Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah
2024 J jnl
Automating the Enterprise with Foundation Models.
Proc. VLDB Endow.
Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam Shah, Christopher Ré
2024 J jnl
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.
BMC Medical Informatics Decis. Mak.
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
2024 A* conf
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records.
ICLR
Ethan Steinberg, Jason Alan Fries, Yizhe Xu, Nigam Shah
2024 A* conf
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks.
NeurIPS
Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam Shah, Christopher Ré
2023 J jnl
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.
CoRR
Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2023 J jnl
A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning.
J. Am. Medical Informatics Assoc.
Diana Cagliero, Natalie Deuitch, Nigam Shah, Chris Feudtner, Danton Char
2023 J jnl
Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature.
CoRR
Alejandro Lozano, Scott L. Fleming, Chia-Chun Chiang, Nigam Shah
2023 A* conf
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.
NeurIPS
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
2023 J jnl
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.
CoRR
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah
2023 — conf
Efficient Diagnosis Assignment Using Unstructured Clinical Notes.
ACL (2)
Louis Blankemeier, Jason A. Fries, Robert Tinn, Joseph Preston, Nigam Shah, Akshay Chaudhari
2023 A* conf
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.
NeurIPS
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries
2023 J jnl
Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation.
J. Biomed. Informatics
Yizhe Xu, Katelyn K. Bechler, Alison Callahan, Nigam Shah
2023 J jnl
Self-Supervised Time-to-Event Modeling with Structured Medical Records.
CoRR
Ethan Steinberg, Yizhe Xu, Jason A. Fries, Nigam Shah
2023 J jnl
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J. Am. Medical Informatics Assoc.
Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, José D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung
2022 — conf
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare.
FAccT
Stephen Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam Shah
2022 Misc conf
Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus.
AMIA
Katelyn K. Bechler, Nigam Shah
2021 J jnl
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions.
J. Am. Medical Informatics Assoc.
Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah
2021 J jnl
Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions.
J. Am. Medical Informatics Assoc.
Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah
2021 Misc conf
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities.
AMIA
Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah
2021 J jnl
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR
Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
2021 J jnl
Summarizing Patients Like Mine via an On-demand Consultation Service.
Proc. VLDB Endow.
Nigam Shah
2021 J jnl
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Appl. Clin. Inform.
Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung
2020 J jnl
A new paradigm for accelerating clinical data science at Stanford Medicine.
CoRR
Somalee Datta, José D. Posada, Garrick Olson, Wencheng Li, Ciaran O'Reilly, Deepa Balraj, Joseph Mesterhazy, Joseph Pallas, Priyamvada Desai, Nigam Shah
2020 Misc conf
Data Quality Assessment of Laboratory Data.
AMIA
Vojtech Huser, Clair Blacketer, Karthik Natarajan, Robert T. Miller, Andrew Williams, Selva Muthu Kumaran Sathappan, José D. Posada, Nigam Shah
2020 Misc conf
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.
AMIA
Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu
2019 J jnl
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare.
CoRR
Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Yi Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill
2019 J jnl
The accuracy vs. coverage trade-off in patient-facing diagnosis models.
CoRR
Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, Xavier Amatriain
2018 Misc conf
Addressing vital sign alarm fatigue using personalized alarm thresholds.
PSB
Sarah Poole, Nigam Shah
2018 — ch.
Biomedical Data/Content Acquisition, Curation.
Encyclopedia of Database Systems (2nd ed.)
Nigam Shah
2018 J jnl
Call for papers: Deep phenotyping for Precision Medicine.
J. Biomed. Informatics
Chunhua Weng, Nigam Shah, George Hripcsak
2018 J jnl
General-purpose validation and model selection when estimating individual treatment effects.
CoRR
Alejandro Schuler, Nigam Shah
2018 Misc conf
Identifying cases of metastatic prostate cancer using machine learning on electronic health records.
AMIA
Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard
2018 Misc conf
Transfer learning to adapt predictive models for pediatric patients in the EHR.
AMIA
Stephen R. Pfohl, Nigam Shah
2018 Misc conf
Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network.
AMIA
Ruijun Chen, Patrick B. Ryan, Karthik Natarajan, Thomas Falconer, Christian G. Reich, Rohit Vashisht, Nigam Shah, George Hripcsak
2017 — conf
A novel propensity modeling approach to estimate the causal impact of acute organ dysfunction on long-term survival in sepsis.
CRI
Alejandro Schuler, David A. Wulf, Yun Lu, Jennifer M. Baker, Gabriel J. Escobar, Nigam Shah, Vincent X. Liu
2017 — conf
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.
CRI
Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah
2017 Misc conf
From Large-Scale Network Analytics to Clinical Solutions in OHDSI.
AMIA
Jon D. Duke, George Hripcsak, Patrick B. Ryan, Nigam Shah
2017 Misc conf
Impact of Clinician Experience on Machine Learned Clinical Order Patterns.
AMIA
Jason K. Wang, Alejandro Schuler, Nigam Shah, Jonathan H. Chen
2017 J jnl
Learning Effective Representations from Clinical Notes.
CoRR
Sébastien Dubois, Nathanael Romano, Nigam Shah, Kenneth Jung
2017 — conf
Quantifying the relative change in physical activity after Total Knee Arthroplasty using accelerometer based measurements.
CRI
Vibhu Agarwal, Mathew Smuck, Nigam Shah
2017 — conf
The Effectiveness of Transfer Learning in Electronic Health Records Data.
ICLR (Workshop)
Sébastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, David C. Kale
2016 — conf
A Pilot Study of the Integration of a Quantified-self Wearable Device with EMR data in the Acute Postoperative Setting.
CRI
Justin Norden, Timothy E. Sweeney, Aleksandra Pavlovic, Euan A. Ashley, Nigam Shah, Cindy Kin, Alexander Morgan
2016 J jnl
An unsupervised learning method to identify reference intervals from a clinical database.
J. Biomed. Informatics
Sarah Poole, Lee Frederick Schroeder, Nigam Shah
2016 J jnl
Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 Health Policy Invitational Meeting.
J. Am. Medical Informatics Assoc.
Laura K. Wiley, Peter Tarczy-Hornoch, Joshua C. Denny, Robert R. Freimuth, Casey L. Overby, Nigam Shah, Ross D. Martin, Indra Neil Sarkar
2016 Misc conf
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.
AMIA
Rohit Vashisht, Kenneth Jung, Nigam Shah
2016 — conf
Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare.
CRI
Jon D. Duke, George Hripcsak, Nigam Shah, Patrick B. Ryan, Vojtech Huser
2016 — conf
Predicting Emergency Department Visits.
CRI
Sarah F. Poole, Shaun J. Grannis, Nigam Shah
2016 — conf
Predicting hospital visits from geo-tagged Internet search logs.
CRI
Vibhu Agarwal, Lichy Han, Isaac Madan, Shaurya Saluja, Aaditya Shidham, Nigam Shah
2016 Misc conf
Session Introduction.
PSB
Kelly Regan, Zachary B. Abrams, Michael F. Sharpnack, Arunima Srivastava, Kun Huang, Nigam Shah, Philip R. O. Payne
2016 J jnl
The digital revolution in phenotyping.
Briefings Bioinform.
Anika Oellrich, Nigel Collier, Tudor Groza, Dietrich Rebholz-Schuhmann, Nigam Shah, Olivier Bodenreider, Mary Regina Boland, Ivo I. Georgiev, Hongfang Liu, Kevin M. Livingston, Augustin Luna, Ann-Marie Mallon, Prashanti Manda, Peter N. Robinson, Gabriella Rustici, Michelle Simon, Liqin Wang, Rainer Winnenburg, Michel Dumontier
2016 J jnl
Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.
J. Biomed. Semant.
Karin Verspoor, Anika Oellrich, Nigel Collier, Tudor Groza, Philippe Rocca-Serra, Larisa N. Soldatova, Michel Dumontier, Nigam Shah
2015 Misc conf
Recent Advances in Computational Drug Repositioning.
AMIA
Atul J. Butte, Nigam Shah, Nicholas P. Tatonetti, Hua Xu, Ping Zhang
2015 Misc conf
The Value of an Open-Source Observational Research Collaboratory: Results from the OHDSI Initiative.
AMIA
Jon D. Duke, George Hripcsak, Nigam Shah, Patrick B. Ryan
2014 A* conf
Finding progression stages in time-evolving event sequences.
WWW
Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah
2014 A* conf
Medicine in the age of electronic health records.
KDD
Nigam Shah
2014 Misc conf
Session introduction.
Pacific Symposium on Biocomputing
Graciela Gonzalez, Kevin Bretonnel Cohen, Robert Leaman, Casey S. Greene, Nigam Shah, Maricel G. Kann, Jieping Ye
2013 Misc conf
Learning Practice-based Evidence from Unstructured Clinical Notes.
AMIA
Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan V Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz
2013 — conf
Mining Biomedical Ontologies and Data Using RDF Hypergraphs.
ICMLA (1)
Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah
2013 Misc conf
Predictive Models in Mental Health: From Diagnosis to Treatment.
AMIA
Sandy Huang, Paea LePendu, Srinivasan V Iyer, Ming Tai-Seale, David Carrell, Nigam Shah
2013 — conf
Refining Health Outcomes of Interest using Formal Concept Analysis and Semantic Query Expansion.
SWAT4LS
Olivier Curé, Henri Maurer, Nigam Shah, Paea LePendu
2013 — conf
Refining health outcomes of interest using formal concept analysis and semantic query expansion.
DTMBIO
Olivier Curé, Henri Maurer, Nigam Shah, Paea LePendu
2013 Misc conf
Session introduction.
Pacific Symposium on Biocomputing
Graciela Gonzalez, Kevin Bretonnel Cohen, Casey S. Greene, Udo Hahn, Maricel G. Kann, Robert Leaman, Nigam Shah, Jieping Ye
2012 J jnl
Changing computational research. The challenges ahead.
Source Code Biol. Medicine
Cameron Neylon, Jan Aerts, C. Titus Brown, Simon J. Coles, Les Hatton, Daniel Lemire, K. Jarrod Millman, Peter Murray-Rust, Fernando Pérez, Neil F. W. Saunders, Nigam Shah, Arfon M. Smith, Gaël Varoquaux, Egon L. Willighagen
2012 — conf
Performance of Left Outer Join on Hadoop with Right Side within Single Node Memory Size.
AINA Workshops
Byambajargal Byambajav, Tomasz Wiktor Wlodarczyk, Chunming Rong, Paea LePendu, Nigam Shah
2012 — ed.
Proceedings of the Joint Workshop on Semantic Technologies Applied to Biomedical Informatics and Individualized Medicine, Boston, USA, November 12, 2012
SATBI+SWIM
Alejandro Rodríguez González, Jyotishman Pathak, Mark D. Wilkinson, Nigam Shah, Robert Stevens, Richard D. Boyce, Ángel García-Crespo
2012 Misc conf
Session introduction.
Pacific Symposium on Biocomputing
Kevin Bretonnel Cohen, Yael Garten, Nigam Shah, Udo Hahn
2011 — conf
Bioportal: Ontologies and Integrated Data Resources at the Click of a Mouse.
ICBO
Patricia L. Whetzel, Natasha F. Noy, Nigam Shah, Paul R. Alexander, Michael Dorf, Ray W. Fergerson, Margaret-Anne D. Storey, Barry Smith, Christopher G. Chute, Mark A. Musen
2011 — conf
The NCBO Annotator: Ontology-Based Annotation as a Web Service.
ICBO
Patricia L. Whetzel, Clément Jonquet, Cherie Youn, Michael Dorf, Ray W. Fergerson, Mark A. Musen, Nigam Shah
2009 — ch.
Biomedical Data/Content Acquisition, Curation.
Encyclopedia of Database Systems
Nigam Shah
2008 — conf
A System for Ontology-Based Annotation of Biomedical Data.
DILS
Clément Jonquet, Mark A. Musen, Nigam Shah
2008 — conf
BioPortal: A Web Repository for Biomedical Ontologies and Data Resources.
ISWC (Posters & Demos)
Natalya Fridman Noy, Nigam Shah, Benjamin Dai, Michael Dorf, Nicholas Griffith, Clément Jonquet, Michael Montegut, Daniel L. Rubin, Cherie Youn, Mark A. Musen
2008 J jnl
Biomedical ontologies: a functional perspective.
Briefings Bioinform.
Daniel L. Rubin, Nigam Shah, Natalya Fridman Noy
2008 Misc conf
Comparison of Ontology-based Semantic-Similarity Measures.
AMIA
Wei-Nchih Lee, Nigam Shah, Karanjot Sundlass, Mark A. Musen
2008 J jnl
Pathway knowledge base: An integrated pathway resource using BioPAX.
Appl. Ontology
Nikesh Kotecha, Kyle Bruck, William Lu, Nigam Shah
2007 B conf
Searching ontologies based on content: experiments in the biomedical domain.
K-CAP
Harith Alani, Natasha Fridman Noy, Nigam Shah, Nigel Shadbolt, Mark A. Musen
2007 — conf
Using Annotations from Controlled Vocabularies to Find Meaningful Associations.
DILS
Woei-Jyh Lee, Louiqa Raschid, Padmini Srinivasan, Nigam Shah, Daniel L. Rubin, Natasha Fridman Noy
2006 J jnl
A case study in pathway knowledgebase verification.
BMC Bioinform.
Stephen A. Racunas, Nigam Shah, Nina V. Fedoroff
2004 — conf
A Finite Model Theory for Biological Hypotheses.
CSB
Stephen A. Racunas, Christopher Griffin, Nigam Shah
2003 — conf
A Contradiction-Based Framework for Testing Gene Regulation Hypotheses.
CSB
Steve Racunas, Nigam Shah, Nina V. Fedoroff
2003 — conf
Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data?
CSB
Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky
1996 J jnl
PGEN: A Novel Approach to Sequential Circuit Test Generation.
VLSI Design
Wen-Ben Jone, Nigam Shah, Anita Gleason, Sunil R. Das