Karen Sachs

According to our database, Karen Sachs authored at least 11 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

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, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel

Nat. Comput. Sci., 2022

2018

A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.

Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek

J. Comput. Biol., 2018

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, Connie J. Eaves, William A. Weiss, Wendy J. Fantl, Garry P. Nolan

Bioinform., 2018

2017

Graph-Sparse Logistic Regression.

Alexander LeNail, Ludwig Schmidt, Johnathan Li, Tobias Ehrenberger, Karen Sachs, Stefanie Jegelka, Ernest Fraenkel

CoRR, 2017

2015

Big data comes in tiny packages: single-cell driven science and health.

Karen Sachs, Tiffany Chen

XRDS, 2015

2010

Recovering Cyclic Causal Structure.

Sleiman Itani, Mesrob I. Ohannessian, Karen Sachs, Garry P. Nolan, Munther A. Dahleh

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

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

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

Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008

Structure learning for biomolecular pathways containing cycles.

Sleiman Itani, Karen Sachs, Garry P. Nolan, Munther A. Dahleh

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2004

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

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004