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Calcified Tissue International
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July 31, 2020
Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men
Qing Wu, Fatma Nasoz, Jongyun Jung, et al.
NAR Genomics and Bioinformatics
|
October 4, 2024
Genome wide clustering on integrated chromatin states and Micro-C contacts reveals chromatin interaction signatures
Corinne E Sexton, Sylvia Victor Paul, Dylan Barth, et al.
Evolution; International Journal of Organic Evolution
|
March 20, 2010
The contribution of gene movement to the "two rules of speciation"
Leonie C Moyle, Christopher D Muir, Mira V Han, et al.
Molecular Biology and Evolution
|
May 28, 2013
Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3
Mira V Han, Gregg W C Thomas, Jose Lugo-Martinez, et al.
Briefings in Bioinformatics
|
May 9, 2025
A novel splicing graph allows a direct comparison between exon-based and splice junction-based approaches to alternative splicing detection
Jelard Aquino, Daniel Witoslawski, Steve Park, et al.
Genome Research
|
May 5, 2009
Adaptive evolution of young gene duplicates in mammals
Mira V Han, Jeffery P Demuth, Casey L McGrath, et al.
Molecular Biology and Evolution
|
December 17, 2024
Asymmetrical Evolution of Promoter Methylation of Mammalian Genes after Duplication
Mercedes de la Fuente, Isabel Mendizabal, Mira V Han, et al.
Evolution; International Journal of Organic Evolution
|
August 25, 2010
Developmental decoupling of alternative phenotypes: insights from the transcriptomes of horn-polyphenic beetles
Emilie C Snell-Rood, Amy Cash, Mira V Han, et al.
BMC Bioinformatics
|
May 9, 2024
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
Richard Van, Daniel Alvarez, Travis Mize, et al.
Scientific Reports
|
February 25, 2021
Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men
Qing Wu, Fatma Nasoz, Jongyun Jung, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 34) with videos related to
Sort By:
Page
of 4
Calcified Tissue International
|
July 31, 2020
Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men
Qing Wu, Fatma Nasoz, Jongyun Jung, et al.
NAR Genomics and Bioinformatics
|
October 4, 2024
Genome wide clustering on integrated chromatin states and Micro-C contacts reveals chromatin interaction signatures
Corinne E Sexton, Sylvia Victor Paul, Dylan Barth, et al.
Evolution; International Journal of Organic Evolution
|
March 20, 2010
The contribution of gene movement to the "two rules of speciation"
Leonie C Moyle, Christopher D Muir, Mira V Han, et al.
Molecular Biology and Evolution
|
May 28, 2013
Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3
Mira V Han, Gregg W C Thomas, Jose Lugo-Martinez, et al.
Briefings in Bioinformatics
|
May 9, 2025
A novel splicing graph allows a direct comparison between exon-based and splice junction-based approaches to alternative splicing detection
Jelard Aquino, Daniel Witoslawski, Steve Park, et al.
Genome Research
|
May 5, 2009
Adaptive evolution of young gene duplicates in mammals
Mira V Han, Jeffery P Demuth, Casey L McGrath, et al.
Molecular Biology and Evolution
|
December 17, 2024
Asymmetrical Evolution of Promoter Methylation of Mammalian Genes after Duplication
Mercedes de la Fuente, Isabel Mendizabal, Mira V Han, et al.
Evolution; International Journal of Organic Evolution
|
August 25, 2010
Developmental decoupling of alternative phenotypes: insights from the transcriptomes of horn-polyphenic beetles
Emilie C Snell-Rood, Amy Cash, Mira V Han, et al.
BMC Bioinformatics
|
May 9, 2024
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
Richard Van, Daniel Alvarez, Travis Mize, et al.
Scientific Reports
|
February 25, 2021
Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men
Qing Wu, Fatma Nasoz, Jongyun Jung, et al.
Page
of 4