Immunological response in normal healthy twins across age. - Sanchita Bhattacharya; Shai Shen-Orr; Holden T. Maecker; Laura Lazzeroni; Gary E. Swan; J. David Clark; Martin S. Angst; Atul J. Butte; Mark M. Davis (BCB, 2010)

Integrative Approach to Pain Genetics Identifies Pain Sensitivity Loci across Diseases. - David Ruau; Joel Dudley; Rong Chen 006; Nicholas G. Phillips; Gary E. Swan; Laura Lazzeroni; J. David Clark; Atul J. Butte; Martin S. Angst (PLoS Comput. Biol., 2012)

GateFinder: projection-based gating strategy optimization for flow and mass cytometry. - Nima Aghaeepour; Erin F. Simonds; David J. H. F. Knapp; Robert V. Bruggner; Karen Sachs; Anthony Culos; Pier Federico Gherardini; Nikolay Samusik; Gabriela K. Fragiadakis; Sean Bendall; Brice Gaudilliere; Martin S. Angst; et al. (Bioinform., 2018)

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. - Mohammad Sajjad Ghaemi; Daniel B. DiGiulio; Kévin Contrepois; Benjamin J. Callahan; Thuy T. M. Ngo; Brittany Lee-McMullen; Benoit Lehallier; Anna Robaczewska; David Mcilwain; Yael Rosenberg-Hasson; Ronald J. Wong; Cecele Quaintance; et al. (Bioinform., 2019)

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. - Anthony Culos; Amy Tsai; Natalie Stanley; Martin Becker 003; Mohammad Sajjad Ghaemi; David Mcilwain; Ramin Fallahzadeh; Athena Tanada; Huda Nassar; Camilo Espinosa; Maria Xenochristou; Edward Ganio; et al. (Nat. Mach. Intell., 2020)

Early prediction and longitudinal modeling of preeclampsia from multiomics. - Ivana Maric; Kévin Contrepois; Mira N. Moufarrej; Ina A. Stelzer; Dorien Feyaerts; Xiaoyuan Han; Andy Tang; Natalie Stanley; Ronald J. Wong; Gavin M. Traber; Mathew Ellenberger; Alan L. Chang; et al. (Patterns, 2022)

Large-scale correlation network construction for unraveling the coordination of complex biological systems. - Martin Becker 003; Huda Nassar; Camilo Espinosa; Ina A. Stelzer; Dorien Feyaerts; Eloïse Berson; Neda Hajiakhoond Bidoki; Alan L. Chang; Geetha Saarunya; Anthony Culos; Davide De Francesco; Ramin Fallahzadeh; et al. (Nat. Comput. Sci., 2023)

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. - Neal G. Ravindra; Camilo Espinosa; Eloïse Berson; Thanaphong Phongpreecha; Peinan Zhao; Martin Becker 003; Alan L. Chang; Sayane Shome; Ivana Maric; Davide De Francesco; Samson Mataraso; Geetha Saarunya; et al. (npj Digit. Medicine, 2023)

Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models. - David Seong; Samson Mataraso; Camilo Espinosa; Eloïse Berson; S. Momsen Reincke; Lei Xue; Chloe Kashiwagi; Yeasul Kim; Chi-Hung Shu; Philip Chung 005; Marc Ghanem; Feng Xie 004; et al. (Briefings Bioinform., 2024)

A machine learning approach to leveraging electronic health records for enhanced omics analysis. - Samson Mataraso; Camilo Espinosa; David Seong; S. Momsen Reincke; Eloïse Berson; Jonathan D. Reiss; Yeasul Kim; Marc Ghanem; Chi-Hung Shu; Tomin James; Yuqi Tan; Sayane Shome; et al. (Nat. Mac. Intell., 2025)

Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis. - Samson Mataraso; Camilo Espinosa; David Seong; S. Momsen Reincke; Eloïse Berson; Jonathan D. Reiss; Yeasul Kim; Marc Ghanem; Chi-Hung Shu; Tomin James; Yuqi Tan; Sayane Shome; et al. (Nat. Mac. Intell., 2025)