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Regev Schweiger
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Year
Cooperativity within proximal phosphorylation sites is revealed from large-scale proteomics data
R Schweiger, M Linial
Biology direct 5, 1-17, 2010
1172010
Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology
E Rahmani, R Schweiger, B Rhead, LA Criswell, LF Barcellos, E Eskin, ...
Nature communications 10 (1), 3417, 2019
1092019
Genome-wide methylation data mirror ancestry information
E Rahmani, L Shenhav, R Schweiger, P Yousefi, K Huen, B Eskenazi, ...
Epigenetics & chromatin 10, 1-12, 2017
962017
GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data
E Rahmani, R Yedidim, L Shenhav, R Schweiger, O Weissbrod, N Zaitlen, ...
Bioinformatics 33 (12), 1870-1872, 2017
552017
BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference
E Rahmani, R Schweiger, L Shenhav, T Wingert, I Hofer, E Gabel, E Eskin, ...
Genome biology 19, 1-18, 2018
522018
Generative probabilistic models for protein–protein interaction networks—the biclique perspective
R Schweiger, M Linial, N Linial
Bioinformatics 27 (13), i142-i148, 2011
422011
Fast and accurate construction of confidence intervals for heritability
R Schweiger, S Kaufman, R Laaksonen, ME Kleber, W März, E Eskin, ...
The American Journal of Human Genetics 98 (6), 1181-1192, 2016
282016
RL-SKAT: an exact and efficient score test for heritability and set tests
R Schweiger, O Weissbrod, E Rahmani, M Müller-Nurasyid, S Kunze, ...
Genetics 207 (4), 1275-1283, 2017
202017
Using stochastic approximation techniques to efficiently construct confidence intervals for heritability
R Schweiger, E Fisher, E Rahmani, L Shenhav, S Rosset, E Halperin
Journal of Computational Biology 25 (7), 794-808, 2018
162018
Association testing of bisulfite-sequencing methylation data via a Laplace approximation
O Weissbrod, E Rahmani, R Schweiger, S Rosset, E Halperin
Bioinformatics 33 (14), i325-i332, 2017
102017
PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations
N Rappoport, M Fromer, R Schweiger, M Linial
Nucleic acids research 38 (suppl_2), W84-W89, 2010
102010
Association of a variant in VWA3A with response to anti-vascular endothelial growth factor treatment in neovascular AMD
M Grunin, G Beykin, E Rahmani, R Schweiger, G Barel, S Hagbi-Levi, ...
Investigative Ophthalmology & Visual Science 61 (2), 48-48, 2020
72020
Efficient construction of test inversion confidence intervals using quantile regression
E Fisher, R Schweiger, S Rosset
Journal of Computational and Graphical Statistics 29 (1), 140-148, 2020
72020
FactorialHMM: fast and exact inference in factorial hidden Markov models
R Schweiger, Y Erlich, S Carmi
Bioinformatics 35 (12), 2162-2164, 2019
72019
Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests
R Schweiger, E Fisher, O Weissbrod, E Rahmani, M Müller-Nurasyid, ...
Nature communications 9 (1), 4919, 2018
62018
Ultra-fast genome-wide inference of pairwise coalescence times
R Schweiger, R Durbin
bioRxiv, 2023.01. 06.522935, 2023
52023
A Bayesian framework for estimating cell type composition from DNA methylation without the need for methylation reference
E Rahmani, R Schweiger, L Shenhav, E Eskin, E Halperin
Research in Computational Molecular Biology: 21st Annual International …, 2017
52017
Genome-wide methylation data mirror ancestry information. Epigenetics Chromatin. 2017; 10: 1
E Rahmani, L Shenhav, R Schweiger, P Yousefi, K Huen, B Eskenazi
5
Calling differential DNA methylation at cell-type resolution: addressing misconceptions and best practices
E Rahmani, B Jew, R Schweiger, B Rhead, LA Criswell, LF Barcellos, ...
bioRxiv, 2021.02. 14.431168, 2021
32021
Relative matching using low coverage sequencing
E Petter, R Schweiger, B Shahino, T Shor, M Aker, L Almog, ...
bioRxiv, 2020.09. 09.289322, 2020
32020
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Articles 1–20