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Michael A Beer

Showing results (1-10 of 63) with videos related to

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Current Genomics|March 11, 2022
Indicators of Successful Career Transitions from Physical Sciences and Engineering to Biomedical ResearchMichael A Beer
Applied Intelligence (Dordrecht, Netherlands)|May 29, 2026
Non-local modeling of enhancer-promoter interactions, a correspondence on "LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions"Michael A Beer
Human Mutation|January 26, 2017
Predicting enhancer activity and variant impact using gkm-SVMMichael A Beer
Plos One|October 15, 2015
Identification of Predictive Cis-Regulatory Elements Using a Discriminative Objective Function and a Dynamic Search SpaceRahul Karnik, Michael A Beer
Plos Computational Biology|December 19, 2018
Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracyWang Xi, Michael A Beer
Plos One|August 23, 2012
Group normalization for genomic dataMahmoud Ghandi, Michael A Beer
Nature Communications|February 17, 2021
Loop competition and extrusion model predicts CTCF interaction specificityWang Xi, Michael A Beer
Cell|April 16, 2004
Predicting gene expression from sequenceMichael A Beer, Saeed Tavazoie
Frontiers in Epigenetics and Epigenomics|March 23, 2026
MicroRNAs provide negative feedback and stability in gene regulatory network models of cell-state transitionsMilad Razavi-Mohseni, Michael A Beer
Nature Communications|July 31, 2024
Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammalsJin Woo Oh, Michael A Beer
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Current Genomics|March 11, 2022
Indicators of Successful Career Transitions from Physical Sciences and Engineering to Biomedical ResearchMichael A Beer
Applied Intelligence (Dordrecht, Netherlands)|May 29, 2026
Non-local modeling of enhancer-promoter interactions, a correspondence on "LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions"Michael A Beer
Human Mutation|January 26, 2017
Predicting enhancer activity and variant impact using gkm-SVMMichael A Beer
Plos One|October 15, 2015
Identification of Predictive Cis-Regulatory Elements Using a Discriminative Objective Function and a Dynamic Search SpaceRahul Karnik, Michael A Beer
Plos Computational Biology|December 19, 2018
Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracyWang Xi, Michael A Beer
Plos One|August 23, 2012
Group normalization for genomic dataMahmoud Ghandi, Michael A Beer
Nature Communications|February 17, 2021
Loop competition and extrusion model predicts CTCF interaction specificityWang Xi, Michael A Beer
Cell|April 16, 2004
Predicting gene expression from sequenceMichael A Beer, Saeed Tavazoie
Frontiers in Epigenetics and Epigenomics|March 23, 2026
MicroRNAs provide negative feedback and stability in gene regulatory network models of cell-state transitionsMilad Razavi-Mohseni, Michael A Beer
Nature Communications|July 31, 2024
Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammalsJin Woo Oh, Michael A Beer
Pageof 7