Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data. - Karen Sachs; Omar D. Perez; Dana Pe'er; Garry P. Nolan; David K. Gifford; Tommi S. Jaakkola; Douglas A. Lauffenburger (CSB, 2004)

Structure learning for biomolecular pathways containing cycles. - Sleiman Itani; Karen Sachs; Garry P. Nolan; Munther A. Dahleh (BIBE, 2008)

Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements. - Karen Sachs; Sleiman Itani; J. Fitzgerald; L. Wille; Birgit Schoeberl; Munther A. Dahleh; Garry P. Nolan (Pacific Symposium on Biocomputing, 2009)

Learning Signaling Network Structures with Sparsely Distributed Data. - Karen Sachs; Solomon Itani; Jennifer Carlisle; Garry P. Nolan; Dana Pe'er; Douglas A. Lauffenburger (J. Comput. Biol., 2009)

Recovering Cyclic Causal Structure. - Sleiman Itani; Mesrob I. Ohannessian; Karen Sachs; Garry P. Nolan; Munther A. Dahleh (NIPS Causality: Objectives and Assessment, 2010)

Big data comes in tiny packages: single-cell driven science and health. - Karen Sachs; Tiffany Chen (XRDS, 2015)

Graph-Sparse Logistic Regression. - Alexander LeNail; Ludwig Schmidt; Johnathan Li; Tobias Ehrenberger; Karen Sachs; Stefanie Jegelka; Ernest Fraenkel (CoRR, 2017)

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)

A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. - Robert Osazuwa Ness; Karen Sachs; Parag Mallick; Olga Vitek (J. Comput. Biol., 2018)

Do-calculus enables estimation of causal effects in partially observed biomolecular pathways. - Sara Mohammad Taheri; Jeremy Zucker; Charles Tapley Hoyt; Karen Sachs; Vartika Tewari; Robert Osazuwa Ness; Olga Vitek (Bioinform., 2022)

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. - Divya Ramamoorthy; Kristen Severson; Soumya Ghosh; Karen Sachs; Emily G. Baxi; Alyssa N. Coyne; Elizabeth Mosmiller; Lindsey Hayes; Aianna Cerezo; Omar Ahmad; Promit Roy; Steven Zeiler; et al. (Nat. Comput. Sci., 2022)

Optimal adjustment sets for causal query estimation in partially observed biomolecular networks. - Sara Mohammad Taheri; Vartika Tewari; Rohan Kapre; Ehsan Rahiminasab; Karen Sachs; Charles Tapley Hoyt; Jeremy Zucker; Olga Vitek (Bioinform., 2023)

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. - Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad P. Kording; Karen Sachs; Alexandre Drouin; Dhanya Sridhar (CoRR, 2024)

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. - Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad K; Karen Sachs; Alexandre Drouin; Dhanya Sridhar (CLeaR, 2025)