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Scientific Reports
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June 9, 2017
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants
Max Schubach, Matteo Re, Peter N Robinson, et al.
Gene
|
July 18, 2013
Regulation of fibrillin-1 gene expression by Sp1
Gao Guo, Christian Rödelsperger, Martin Digweed, et al.
Bioinformatics (Oxford, England)
|
June 24, 2024
FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology
Tudor Groza, Dylan Gration, Gareth Baynam, et al.
Best Practice & Research. Clinical Obstetrics & Gynaecology
|
December 31, 2024
Fetal imaging, phenotyping, and genomic testing in modern prenatal diagnosis
Matthew A Shear, Peter N Robinson, Teresa N Sparks
Bioinformatics (Oxford, England)
|
May 31, 2008
Ontologizer 2.0--a multifunctional tool for GO term enrichment analysis and data exploration
Sebastian Bauer, Steffen Grossmann, Martin Vingron, et al.
NAR Genomics and Bioinformatics
|
December 11, 2024
IsopretGO-analysing and visualizing the functional consequences of differential splicing
Guy Karlebach, Peter Hansen, Kristin Köhler, et al.
European Journal of Human Genetics : EJHG
|
February 11, 2016
Marfanoid-progeroid-lipodystrophy syndrome: a newly recognized fibrillinopathy
Eberhard Passarge, Peter N Robinson, Luitgard M Graul-Neumann
Bioinformatics (Oxford, England)
|
February 7, 2004
Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology
Peter N Robinson, Andreas Wollstein, Ulrike Böhme, et al.
Journal of Cell Science
|
November 25, 2010
Quantitative analysis of TGFBR2 mutations in Marfan-syndrome-related disorders suggests a correlation between phenotypic severity and Smad signaling activity
Daniel Horbelt, Gao Guo, Peter N Robinson, et al.
BMC Bioinformatics
|
October 14, 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods
Marco Notaro, Max Schubach, Peter N Robinson, et al.
Page
of 35
Search research articles
Search
Showing results (31-40 of 348) with videos related to
Sort By:
Page
of 35
Scientific Reports
|
June 9, 2017
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants
Max Schubach, Matteo Re, Peter N Robinson, et al.
Gene
|
July 18, 2013
Regulation of fibrillin-1 gene expression by Sp1
Gao Guo, Christian Rödelsperger, Martin Digweed, et al.
Bioinformatics (Oxford, England)
|
June 24, 2024
FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology
Tudor Groza, Dylan Gration, Gareth Baynam, et al.
Best Practice & Research. Clinical Obstetrics & Gynaecology
|
December 31, 2024
Fetal imaging, phenotyping, and genomic testing in modern prenatal diagnosis
Matthew A Shear, Peter N Robinson, Teresa N Sparks
Bioinformatics (Oxford, England)
|
May 31, 2008
Ontologizer 2.0--a multifunctional tool for GO term enrichment analysis and data exploration
Sebastian Bauer, Steffen Grossmann, Martin Vingron, et al.
NAR Genomics and Bioinformatics
|
December 11, 2024
IsopretGO-analysing and visualizing the functional consequences of differential splicing
Guy Karlebach, Peter Hansen, Kristin Köhler, et al.
European Journal of Human Genetics : EJHG
|
February 11, 2016
Marfanoid-progeroid-lipodystrophy syndrome: a newly recognized fibrillinopathy
Eberhard Passarge, Peter N Robinson, Luitgard M Graul-Neumann
Bioinformatics (Oxford, England)
|
February 7, 2004
Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology
Peter N Robinson, Andreas Wollstein, Ulrike Böhme, et al.
Journal of Cell Science
|
November 25, 2010
Quantitative analysis of TGFBR2 mutations in Marfan-syndrome-related disorders suggests a correlation between phenotypic severity and Smad signaling activity
Daniel Horbelt, Gao Guo, Peter N Robinson, et al.
BMC Bioinformatics
|
October 14, 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods
Marco Notaro, Max Schubach, Peter N Robinson, et al.
Page
of 35