Dana Pe'er
Titel
Zitiert von
Zitiert von
Jahr
Using Bayesian networks to analyze expression data
N Friedman, M Linial, I Nachman, D Pe'er
Journal of computational biology 7 (3-4), 601-620, 2000
42212000
Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
E Segal, M Shapira, A Regev, D Pe'er, D Botstein, D Koller, N Friedman
Nature genetics 34 (2), 166-176, 2003
20322003
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
SC Bendall, EF Simonds, P Qiu, DA El-ad, PO Krutzik, R Finck, ...
Science 332 (6030), 687-696, 2011
18812011
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
16252005
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
ED Amir, KL Davis, MD Tadmor, EF Simonds, JH Levine, SC Bendall, ...
Nature biotechnology 31 (6), 545-552, 2013
10842013
SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues
CGK Ziegler, SJ Allon, SK Nyquist, IM Mbano, VN Miao, CN Tzouanas, ...
Cell 181 (5), 1016-1035. e19, 2020
9262020
Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
JH Levine, EF Simonds, SC Bendall, KL Davis, DA El-ad, MD Tadmor, ...
Cell 162 (1), 184-197, 2015
8892015
Science forum: the human cell atlas
A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ...
Elife 6, e27041, 2017
8802017
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm
N Friedman, I Nachman, D Pe'er
arXiv preprint arXiv:1301.6696, 1999
7981999
Inferring subnetworks from perturbed expression profiles
D Pe’er, A Regev, G Elidan, N Friedman
Bioinformatics 17 (suppl_1), S215-S224, 2001
7192001
Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development
SC Bendall, KL Davis, ED Amir, MD Tadmor, EF Simonds, TJ Chen, ...
Cell 157 (3), 714-725, 2014
7002014
Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade
SC Wei, JH Levine, AP Cogdill, Y Zhao, NAAS Anang, MC Andrews, ...
Cell 170 (6), 1120-1133. e17, 2017
5862017
Single-cell Map of Diverse Immune Phenotypes Driven by the Tumor Microenvironment
E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ...
bioRxiv, 221994, 2018
564*2018
Single-cell map of diverse immune phenotypes in the breast tumor microenvironment
E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ...
Cell 174 (5), 1293-1308. e36, 2018
5622018
Toward understanding and exploiting tumor heterogeneity
AA Alizadeh, V Aranda, A Bardelli, C Blanpain, C Bock, C Borowski, ...
Nature medicine 21 (8), 846, 2015
5122015
Innate immune landscape in early lung adenocarcinoma by paired single-cell analyses
Y Lavin, S Kobayashi, A Leader, ED Amir, N Elefant, C Bigenwald, ...
Cell 169 (4), 750-765. e17, 2017
5032017
Recovering gene interactions from single-cell data using data diffusion
D Van Dijk, R Sharma, J Nainys, K Yim, P Kathail, AJ Carr, C Burdziak, ...
Cell 174 (3), 716-729. e27, 2018
4922018
An integrated approach to uncover drivers of cancer
UD Akavia, O Litvin, J Kim, F Sanchez-Garcia, D Kotliar, HC Causton, ...
Cell 143 (6), 1005-1017, 2010
4922010
Wishbone identifies bifurcating developmental trajectories from single-cell data
M Setty, MD Tadmor, S Reich-Zeliger, O Angel, TM Salame, P Kathail, ...
Nature biotechnology 34 (6), 637-645, 2016
4542016
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
4332013
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