A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood. - Simon Knott; Parvin Mousavi; Sergio Baranzini (CIBCB, 2006)

A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis. - Sara Mostafavi; Sergio Baranzini; Jorge Oksenberg; Parvin Mousavi (CIBCB, 2006)

Predictive modeling of therapy response in multiple sclerosis using gene expression data. - Sara Mostafavi; Sergio Baranzini; Jorge Oksernberg; Parvin Mousavi (EMBC, 2006)

Dynamic, Multi-Level Network Models of Clinical Trials. - Marco Sorani; Geoffrey T. Manley; J. Claude Hemphill; Sergio Baranzini (Pacific Symposium on Biocomputing, 2011)

iCTNet: A Cytoscape plugin to produce and analyze integrative complex traits networks. - Lili Wang 005; Pouya Khankhanian; Sergio Baranzini; Parvin Mousavi (BMC Bioinform., 2011)

Detection of identity by descent using next-generation whole genome sequencing data. - Shu-Yi Su; Jay Kasberger; Sergio Baranzini; William Byerley; Wilson Liao; Jorge Oksenberg; Elliott Sherr; Eric Jorgenson (BMC Bioinform., 2012)

iPINBPA: An Integrative Network-Based Functional Module Discovery Tool for Genome-Wide Association Studies. - Lili Wang 005; Parvin Mousavi; Sergio Baranzini (Pacific Symposium on Biocomputing, 2015)

PINBPA: Cytoscape app for network analysis of GWAS data. - Lili Wang 005; Takuya Matsushita; Lohith Madireddy; Parvin Mousavi; Sergio Baranzini (Bioinform., 2015)

iCTNet2: integrating heterogeneous biological interactions to understand complex traits. - Lili Wang 005; Daniel S. Himmelstein; Adam Santaniello; Parvin Mousavi; Sergio E. Baranzini (F1000Research, 2015)

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes. - Daniel S. Himmelstein; Sergio E. Baranzini (PLoS Comput. Biol., 2015)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - Ryan T. Scott; Erik L. Antonsen; Lauren M. Sanders; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - Lauren M. Sanders; Jason H. Yang; Ryan T. Scott; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (CoRR, 2021)

International Workshop on Knowledge Graphs: Open Knowledge Network. - Ying Ding 001; Amit P. Sheth; Krzysztof W. Janowicz; Sergio Baranzini; Sharat Israni; Ilkay Altintas; Lilit Yeghiazarian; Ellie Young; Sam Klein (KDD, 2022)

Exaflops Biomedical Knowledge Graph Analytics. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Jakub Kurzak; Gundolf Schenk; Yongmei Shi; Seung-Hwan Lim; Sharat Israni; Vijay Thakkar; Guojing Cong; Robert M. Patton; Sergio E. Baranzini; et al. (SC, 2022)

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. - Sergio E. Baranzini; Katy Börner; John H. Morris; Charlotte A. Nelson; Karthik Soman; Erica Schleimer; Michael J. Keiser; Mark A. Musen; Roger Pearce; Tahsin Reza; Brett Smith; Bruce William Herr II; et al. (AI Mag., 2022)

Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis. - Charlotte A. Nelson; Riley Bove; Atul J. Butte; Sergio E. Baranzini (J. Am. Medical Informatics Assoc., 2022)

Biomedical knowledge graph-enhanced prompt generation for large language models. - Karthik Soman; Peter W. Rose; John H. Morris; Rabia E. Akbas; Brett Smith; Braian Peetoom; Catalina Villouta-Reyes; Gabriel Cerono; Yongmei Shi; Angela Rizk-Jackson; Sharat Israni; Charlotte A. Nelson; et al. (CoRR, 2023)

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information. - John H. Morris; Karthik Soman; Rabia E. Akbas; Xiaoyuan Zhou; Brett Smith; Elaine C. Meng; Conrad C. Huang; Gabriel Cerono; Gundolf Schenk; Angela Rizk-Jackson; Adil Harroud; Lauren M. Sanders; et al. (Bioinform., 2023)

Biological research and self-driving labs in deep space supported by artificial intelligence. - Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence. - Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (Nat. Mac. Intell., 2023)

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics. - Haonan Zhu; Mary Silva; Jose Cadena; Braden Soper; Michal Lisicki; Braian Peetoom; Sergio E. Baranzini; Shivshankar Sundaram; Priyadip Ray; Jeff Drocco (CoRR, 2025)