| 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 | 2483 | 2011 |
| 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 | 2241 | 2005 |
| 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 | 1073 | 2011 |
| 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 | 736 | 2013 |
| 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 | 601 | 2012 |
| 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 | 424 | 2018 |
| 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 | 171 | 2002 |
| 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 | 98 | 2022 |
| 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 | 71 | 2011 |
| 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 | 57 | 2020 |
| 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 | 52 | 2021 |
| 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 | 48 | 2017 |
| 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 | 46 | 2018 |
| Use of bayesian networks for modeling cell signaling systems G Nolan, O Perez, K Sachs, D Lauffenburger US Patent App. 11/338,957, 2007 | 43 | 2007 |
| 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 | 33 | 2021 |
| 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 | 30 | 2014 |
| 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 | 29 | 2009 |
| 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 | 28 | 2022 |
| Structure learning in causal cyclic networks S Itani, M Ohannessian, K Sachs, GP Nolan, MA Dahleh Causality: Objectives and assessment, 165-176, 2010 | 27 | 2010 |
| 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 | 26 | 2016 |
