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Karen Sachs
Karen Sachs
Next Generation Analytics, Modulo Bio, Inc., Answer ALS, Massachusetts Institute of Technology, UCSF
Verified email at mit.edu
Title
Cited by
Cited by
Year
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
SC Bendall, EF Simonds, P Qiu, ED Amir, PO Krutzik, R Finck, ...
Science 332 (6030), 687-696, 2011
24892011
Causal protein-signaling networks derived from multiparameter single-cell data
K Sachs, O Perez, D Pe'er, DA Lauffenburger, GP Nolan
Science 308 (5721), 523-529, 2005
22512005
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
P Qiu, EF Simonds, SC Bendall, KD Gibbs Jr, RV Bruggner, ...
Nature biotechnology 29 (10), 886-891, 2011
10742011
Normalization of mass cytometry data with bead standards
R Finck, EF Simonds, A Jager, S Krishnaswamy, K Sachs, W Fantl, ...
Cytometry Part A 83 (5), 483-494, 2013
7432013
Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators
B Bodenmiller, ER Zunder, R Finck, TJ Chen, ES Savig, RV Bruggner, ...
Nature biotechnology 30 (9), 858-867, 2012
6042012
The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations
AB Keenan, SL Jenkins, KM Jagodnik, S Koplev, E He, D Torre, Z Wang, ...
Cell systems 6 (1), 13-24, 2018
4282018
Bayesian network approach to cell signaling pathway modeling
K Sachs, D Gifford, T Jaakkola, P Sorger, DA Lauffenburger
Science's STKE 2002 (148), pe38-pe38, 2002
1712002
Answer ALS, a large-scale resource for sporadic and familial ALS combining clinical and multi-omics data from induced pluripotent cell lines
EG Baxi, T Thompson, J Li, JA Kaye, RG Lim, J Wu, D Ramamoorthy, ...
Nature neuroscience 25 (2), 226-237, 2022
982022
Single-cell phospho-specific flow cytometric analysis demonstrates biochemical and functional heterogeneity in human hematopoietic stem and progenitor compartments
KD Gibbs Jr, PM Gilbert, K Sachs, F Zhao, HM Blau, IL Weissman, ...
Blood, The Journal of the American Society of Hematology 117 (16), 4226-4233, 2011
712011
Single-cell gene expression analyses reveal distinct self-renewing and proliferating subsets in the leukemia stem cell compartment in acute myeloid leukemia
K Sachs, AL Sarver, KE Noble-Orcutt, RS LaRue, ML Antony, D Chang, ...
Cancer research 80 (3), 458-470, 2020
572020
High-grade serous ovarian tumor cells modulate NK cell function to create an immune-tolerant microenvironment
VD Gonzalez, YW Huang, A Delgado-Gonzalez, SY Chen, K Donoso, ...
Cell reports 36 (9), 2021
552021
Distinct signaling programs control human hematopoietic stem cell survival and proliferation
DJHF Knapp, CA Hammond, N Aghaeepour, PH Miller, D Pellacani, ...
Blood, The Journal of the American Society of Hematology 129 (3), 307-318, 2017
482017
A Bayesian active learning experimental design for inferring signaling networks
RO Ness, K Sachs, P Mallick, O Vitek
Journal of Computational Biology 25 (7), 709-725, 2018
462018
Use of bayesian networks for modeling cell signaling systems
G Nolan, O Perez, K Sachs, D Lauffenburger
US Patent App. 11/338,957, 2007
432007
An integrated multi-omic analysis of iPSC-derived motor neurons from C9ORF72 ALS patients
H Phatnani, J Kwan, D Sareen, JR Broach, Z Simmons, X Arcila-Londono, ...
Iscience 24 (11), 2021
322021
NRAS G12V oncogene facilitates self-renewal in a murine model of acute myelogenous leukemia
Z Sachs, RS LaRue, HT Nguyen, K Sachs, KE Noble, NA Mohd Hassan, ...
Blood, The Journal of the American Society of Hematology 124 (22), 3274-3283, 2014
302014
Learning signaling network structures with sparsely distributed data
K Sachs, S Itani, J Carlisle, GP Nolan, D Pe'er, DA Lauffenburger
Journal of Computational Biology 16 (2), 201-212, 2009
302009
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data
D Ramamoorthy, K Severson, S Ghosh, K Sachs, JD Glass, CN Fournier, ...
Nature Computational Science 2 (9), 605-616, 2022
282022
Structure learning in causal cyclic networks
S Itani, M Ohannessian, K Sachs, GP Nolan, MA Dahleh
Causality: Objectives and assessment, 165-176, 2010
272010
From correlation to causality: statistical approaches to learning regulatory relationships in large-scale biomolecular investigations
RO Ness, K Sachs, O Vitek
Journal of Proteome Research 15 (3), 683-690, 2016
262016
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