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Maxwell W Libbrecht

Showing results (1-10 of 22) with videos related to

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Nature Reviews. Genetics|May 8, 2015
Machine learning applications in genetics and genomicsMaxwell W Libbrecht, William Stafford Noble
Bioinformatics (Oxford, England)|October 31, 2021
SigTools: exploratory visualization for genomic signalsShohre Masoumi, Maxwell W Libbrecht, Kay C Wiese
Bioinformatics (Oxford, England)|December 10, 2024
VSS-Hi-C: variance-stabilized signals for chromatin contactsNeda Shokraneh Kenari, Faezeh Bayat, Maxwell W Libbrecht
Genome Research|March 21, 2024
Robust chromatin state annotationMehdi Foroozandeh Shahraki, Marjan Farahbod, Maxwell W Libbrecht
Proteins|January 19, 2018
Choosing non-redundant representative subsets of protein sequence data sets using submodular optimizationMaxwell W Libbrecht, Jeffrey A Bilmes, William Stafford Noble
Plos Computational Biology|October 14, 2021
Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patternsMaxwell W Libbrecht, Rachel C W Chan, Michael M Hoffman
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|September 24, 2021
Automated identification of maximal differential cell populations in flow cytometry dataAlice Yue, Cedric Chauve, Maxwell W Libbrecht, et al.
Genome Biology|June 11, 2026
Pan-cell type continuous chromatin state annotation of all epigenomes from the International Human Epigenome ConsortiumHabib Daneshpajouh, Ismail Moghul, Kay C Wiese, et al.
Genome Biology|November 17, 2016
Choosing panels of genomics assays using submodular optimizationKai Wei, Maxwell W Libbrecht, Jeffrey A Bilmes, et al.
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|November 1, 2024
Entropic Graph-based Posterior RegularizationMaxwell W Libbrecht, Michael M Hoffman, Jeffrey A Bilmes, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Nature Reviews. Genetics|May 8, 2015
Machine learning applications in genetics and genomicsMaxwell W Libbrecht, William Stafford Noble
Bioinformatics (Oxford, England)|October 31, 2021
SigTools: exploratory visualization for genomic signalsShohre Masoumi, Maxwell W Libbrecht, Kay C Wiese
Bioinformatics (Oxford, England)|December 10, 2024
VSS-Hi-C: variance-stabilized signals for chromatin contactsNeda Shokraneh Kenari, Faezeh Bayat, Maxwell W Libbrecht
Genome Research|March 21, 2024
Robust chromatin state annotationMehdi Foroozandeh Shahraki, Marjan Farahbod, Maxwell W Libbrecht
Proteins|January 19, 2018
Choosing non-redundant representative subsets of protein sequence data sets using submodular optimizationMaxwell W Libbrecht, Jeffrey A Bilmes, William Stafford Noble
Plos Computational Biology|October 14, 2021
Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patternsMaxwell W Libbrecht, Rachel C W Chan, Michael M Hoffman
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|September 24, 2021
Automated identification of maximal differential cell populations in flow cytometry dataAlice Yue, Cedric Chauve, Maxwell W Libbrecht, et al.
Genome Biology|June 11, 2026
Pan-cell type continuous chromatin state annotation of all epigenomes from the International Human Epigenome ConsortiumHabib Daneshpajouh, Ismail Moghul, Kay C Wiese, et al.
Genome Biology|November 17, 2016
Choosing panels of genomics assays using submodular optimizationKai Wei, Maxwell W Libbrecht, Jeffrey A Bilmes, et al.
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|November 1, 2024
Entropic Graph-based Posterior RegularizationMaxwell W Libbrecht, Michael M Hoffman, Jeffrey A Bilmes, et al.
Pageof 3