You can also find my articles on my Google Scholar profile.
Regev Schweiger*, Sangjin Lee*, Chenxi Zhou, Tsun-Po Yang, Katie Smith, Stacy Li, Rashesh Sanghvi, Matthew Neville, Emily Mitchell, Ayrun Nessa, Sam Wadge, Kerrin S Small, Peter J Campbell, Peter H Sudmant, Raheleh Rahbari, Richard Durbin. Insights into non-crossover recombination from long-read sperm sequencing. bioRxiv, 2024.
Trevor Cousins*, Regev Schweiger*, Richard Durbin. Deep coalescent history of the hominin lineage, bioRxiv, 2024. (* = equal contribution)
Regev Schweiger, Richard Durbin. Ultrafast genome-wide inference of pairwise coalescence times. RECOMB 2023, Genome Research, 2023. [github]
Regev Schweiger, Yaniv Erlich and Shai Carmi. FactorialHMM: Fast and exact inference in factorial hidden Markov models. Bioinformatics, 2019. [github]
Regev Schweiger, Eyal Fisher, Omer Weissbrod, Elior Rahmani, Liat Shenhav, Martina Muller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset, and Eran Halperin. Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests. Nature Communications, 2018. [github]
Regev Schweiger, Omer Weissbrod, Elior Rahmani, Martina Muller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset, and Eran Halperin. RL-SKAT: An exact and efficient score test for heritability and set tests. Genetics, 2017. [github]
Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, and Eran Halperin. Using stochastic approximation techniques to efficiently construct confidence intervals for heritability. RECOMB 2017, Journal of Computational Biology, 2018. [github]
Regev Schweiger, Shachar Kaufman, Reijo Laaksonen, Marcus Kleber, Winfried Marz, Eleazar Eskin, Saharon Rosset and Eran Halperin. Fast and accurate construction of confidence intervals for heritability. The American Journal of Human Genetics, 2016. [github]
Leon Hilgers, Shenglin Liu, Axel Jensen, Thomas Brown, Trevor Cousins, Regev Schweiger, Katerina Guschanski, Michael Hiller. Avoidable false PSMC population size peaks occur across numerous studies. bioRxiv, 2024. Accepted to Current Biology.
Michelle Grunin, Daria Triffon, Gala Beykin, Elior Rahmani, Regev Schweiger, Liran Tiosano, Samer Khateb, Shira Hagbi-Levi, Batya Rinsky, Refael Munitz, Thomas W Winkler, Iris M Heid, Eran Halperin, Shai Carmi, Itay Chowers. Genome wide association study and genomic risk prediction of age related macular degeneration in Israel. Scientific Reports, 2024.
Regev Schweiger, Richard Durbin. Ultrafast genome-wide inference of pairwise coalescence times. RECOMB 2023, Genome Research, 2023.
2021
Elior Rahmani, Brandon Jew, Regev Schweiger, Brooke Rhead, Lindsey A. Criswell, Lisa F. Barcellos, Eleazar Eskin, Saharon Rosset, Sriram Sankararaman, Eran Halperin. Calling differential DNA methylation at cell-type resolution: addressing misconceptions and best practices. bioRxiv, 2021
Michelle Grunin, Gala Beykin, Elior Rahmani, Regev Schweiger, Gal Barel, Shira Levi, Sarah Hayoun, Batya Rinsky, Michal Ganiel, Shai Carmi, Eran Halperin, Itay Chowers. Association of a variant in VWA3A with response to anti-VEGF treatment in Neovascular Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science, 2020.
Eyal Fisher, Regev Schweiger, Saharon Rosset. Efficient construction of test inversion confidence intervals using quantile regression. Journal of Computational and Graphical Statistics, 2020.
Ella Petter, Regev Schweiger, Bar Shahino, Tal Shor, Malka Aker, Lior Almog, Daphna Weissglas-Volkov, Yoav Naveh, Oron Navon, Shai Carmi, Jeremiah H Li, Tomaz Berisa, Joseph K Pickrell, Yaniv Erlich. Relative matching using low coverage sequencing. bioRxiv, 2020.
Elior Rahmani, Regev Schweiger, Brooke Rhead, Lindsey A. Criswell, Lisa F. Barcellos, Eleazar Eskin, Saharon Rosset, Sriram Sankararaman and Eran Halperin. Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology. Nature Communications, 2019.
Regev Schweiger, Yaniv Erlich and Shai Carmi. FactorialHMM: Fast and exact inference in factorial hidden Markov models. Bioinformatics, 2019.
Regev Schweiger, Eyal Fisher, Omer Weissbrod, Elior Rahmani, Liat Shenhav, Martina Muller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset, and Eran Halperin. Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests. Nature Communications, 2018.
Elior Rahmani, Regev Schweiger, Liat Shenhav, Theodora Wingert, Ira Hofer, Eilon Gabel, Eleazar Eskin and Eran Halperin. BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference. RECOMB 2017, Genome Biology, 2018.
Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman and Eran Halperin. Tensor composition analysis detects cell-type specific associations in epigenetic studies. RECOMB 2018.
Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, and Eran Halperin. Using stochastic approximation techniques to efficiently construct confidence intervals for heritability. RECOMB 2017, Journal of Computational Biology, 2018.
Regev Schweiger, Omer Weissbrod, Elior Rahmani, Martina Muller-Nurasyid, Sonja Kunze, Christian Gieger, Melanie Waldenberger, Saharon Rosset, and Eran Halperin. RL-SKAT: An exact and efficient score test for heritability and set tests. Genetics, 2017.
Omer Weissbrod, Elior Rahmani, Regev Schweiger, Saharon Rosset and Eran Halperin. Association testing of bisulfite sequencing methylation data via a Laplace approximation. Bioinformatics, Proceedings of ISMB/ECCB 2017.
Elior Rahmani*, Reut Yedidim*, Liat Shenhav, Regev Schweiger, Omer Weissbrod, Noah Zaitlen and Eran Halperin. GLINT: A user-friendly toolset for the analysis of high-throughput DNA methylation array data. Bioinformatics, 2017. (* = equal contribution)
Elior Rahmani, Liat Shenhav, Regev Schweiger, Paul Yousefi, Karen Huen, Brenda Eskenazi, Celeste Eng, Scott Huntsman, Donglei Hu, Joshua Galanter, Sam Oh, Melanie Waldenberger, Konstantin Strauch, Harald Grallert, Thomas Meitinger, Christian Gieger, Nina Holland, Esteban Burchard, Noah Zaitlen and Eran Halperin. Genome-wide methylation data mirror ancestry information. Epigenetics & Chromatin, 2017.
Regev Schweiger*, Matan Gavish*, Elior Rahmani and Eran Halperin, ReFACTor: Practical low-rank matrix estimation under column-sparsity. arXiv preprint, 2017. (* = equal contribution)
Regev Schweiger, Shachar Kaufman, Reijo Laaksonen, Marcus Kleber, Winfried Marz, Eleazar Eskin, Saharon Rosset and Eran Halperin. Fast and accurate construction of confidence intervals for heritability. The American Journal of Human Genetics, 2016.
Regev Schweiger, Michal Linial and Nathan Linial. Generative probabilistic models for Protein-Protein Interaction networks - The biclique perspective. Bioinformatics, Proceedings of ISMB/ECCB 2011.
Nadav Rappoport, Menachem Fromer, Regev Schweiger, Michal Linial. PANDORA: Analysis of protein and peptide sets through the hierarchical integration of annotations. Nucl. Acids Res., 2010.
Regev Schweiger, Michal Linial. Cooperativity within proximal phosphorylation sites is revealed from large-scale proteomics data. Biology Direct, 2010.