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Brian D Aevermann

Showing results (1-10 of 23) with videos related to

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Genetica|October 18, 2007
A comparative genomic analysis of the small heat shock proteins in Caenorhabditis elegans and briggsaeBrian D Aevermann, Elizabeth R Waters
Cell Stress & Chaperones|September 2, 2008
Comparative analysis of the small heat shock proteins in three angiosperm genomes identifies new subfamilies and reveals diverse evolutionary patternsElizabeth R Waters, Brian D Aevermann, Zipporah Sanders-Reed
Plos One|September 23, 2022
Machine learning for cell type classification from single nucleus RNA sequencing dataHuy Le, Beverly Peng, Janelle Uy, et al.
Plant Physiology|December 11, 2021
The genome and preliminary single-nuclei transcriptome of Lemna minuta reveals mechanisms of invasivenessBradley W Abramson, Mark Novotny, Nolan T Hartwick, et al.
Bioinformatics (Oxford, England)|August 26, 2022
FastMix: a versatile data integration pipeline for cell type-specific biomarker inferenceYun Zhang, Hao Sun, Aishwarya Mandava, et al.
Briefings in Bioinformatics|November 29, 2020
FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric testYun Zhang, Brian D Aevermann, Trygve E Bakken, et al.
Human Molecular Genetics|March 29, 2018
Cell type discovery using single-cell transcriptomics: implications for ontological representationBrian D Aevermann, Mark Novotny, Trygve Bakken, et al.
Journal of Virology|March 6, 2015
Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in HumansAlexandra J Lee, Suman R Das, Wei Wang, et al.
BMC Bioinformatics|January 12, 2018
Cell type discovery and representation in the era of high-content single cell phenotypingTrygve Bakken, Lindsay Cowell, Brian D Aevermann, et al.
Scientific Reports|June 13, 2023
Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brainYun Zhang, Jeremy A Miller, Jeongbin Park, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Genetica|October 18, 2007
A comparative genomic analysis of the small heat shock proteins in Caenorhabditis elegans and briggsaeBrian D Aevermann, Elizabeth R Waters
Cell Stress & Chaperones|September 2, 2008
Comparative analysis of the small heat shock proteins in three angiosperm genomes identifies new subfamilies and reveals diverse evolutionary patternsElizabeth R Waters, Brian D Aevermann, Zipporah Sanders-Reed
Plos One|September 23, 2022
Machine learning for cell type classification from single nucleus RNA sequencing dataHuy Le, Beverly Peng, Janelle Uy, et al.
Plant Physiology|December 11, 2021
The genome and preliminary single-nuclei transcriptome of Lemna minuta reveals mechanisms of invasivenessBradley W Abramson, Mark Novotny, Nolan T Hartwick, et al.
Bioinformatics (Oxford, England)|August 26, 2022
FastMix: a versatile data integration pipeline for cell type-specific biomarker inferenceYun Zhang, Hao Sun, Aishwarya Mandava, et al.
Briefings in Bioinformatics|November 29, 2020
FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric testYun Zhang, Brian D Aevermann, Trygve E Bakken, et al.
Human Molecular Genetics|March 29, 2018
Cell type discovery using single-cell transcriptomics: implications for ontological representationBrian D Aevermann, Mark Novotny, Trygve Bakken, et al.
Journal of Virology|March 6, 2015
Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in HumansAlexandra J Lee, Suman R Das, Wei Wang, et al.
BMC Bioinformatics|January 12, 2018
Cell type discovery and representation in the era of high-content single cell phenotypingTrygve Bakken, Lindsay Cowell, Brian D Aevermann, et al.
Scientific Reports|June 13, 2023
Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brainYun Zhang, Jeremy A Miller, Jeongbin Park, et al.
Pageof 3