Author

Leslie Bernstein

Beckman Research InstituteORCID 0000-0002-7692-6518Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Alison M. DunningiD· 1 shared Andrew F. OlshaniD· 1 shared Anne S. ReineriD· 1 shared Anselm J. M. HennisiD· 1 shared Barbara Berger NemesureiD· 1 shared Cari Meinhold KitaharaiD· 1 shared Charles F. LynchiD· 1 shared Christine B. AmbrosoneiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alison M. DunningORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineHuman Molecular GeneticsPeer-reviewedMay 10, 2022

Polygenic Risk Scores for Prediction of Breast Cancer Risk in Women of African Ancestry: a Cross-Ancestry Approach

Guimin Gao, Fangyuan Zhao, Thomas U. Ahearn…·Dezheng Huo

This paper develops polygenic risk scores for breast cancer prediction in women of African ancestry by combining African and European ancestry datasets, improving prediction accuracy.

26 citations

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintFeb 12, 2019

Machine Learning Methods to Identify Genetic Correlates of Radiation-Associated Contralateral Breast Cancer in the WECARE Study

Sangkyu Lee, Xiaolin Liang, Meghan Woods…·Jung Hun Oh

DOI 10.1101/547422

humanGWAS summary statistics

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