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Showing results (121-130 of 426) with videos related to

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Bioinformatics (Oxford, England)|December 16, 2015
destiny: diffusion maps for large-scale single-cell data in RPhilipp Angerer, Laleh Haghverdi, Maren Büttner, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 23, 2014
Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profilesSameer S Bajikar, Christiane Fuchs, Andreas Roller, et al.
Omics : a Journal of Integrative Biology|February 19, 2011
Huge splicing frequency in human Y chromosomal UTY geneIngeborg Laaser, Fabian J Theis, Martin Hrabé de Angelis, et al.
Genome Biology|September 4, 2019
MPRAnalyze: statistical framework for massively parallel reporter assaysTal Ashuach, David S Fischer, Anat Kreimer, et al.
Plos Computational Biology|November 26, 2009
Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundaryDominik M Wittmann, Florian Blöchl, Dietrich Trümbach, et al.
International Journal of Molecular Sciences|December 24, 2015
MicroRNA-Target Network Inference and Local Network Enrichment Analysis Identify Two microRNA Clusters with Distinct Functions in Head and Neck Squamous Cell CarcinomaSteffen Sass, Adriana Pitea, Kristian Unger, et al.
Nature Methods|December 4, 2023
Modeling fragment counts improves single-cell ATAC-seq analysisLaura D Martens, David S Fischer, Vicente A Yépez, et al.
Frontiers in Immunology|July 30, 2019
Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in ImmunologySubarna Palit, Christoph Heuser, Gustavo P de Almeida, et al.
Nature Genetics|March 31, 2025
Causal machine learning for single-cell genomicsAlejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, et al.
Briefings in Bioinformatics|October 24, 2018
Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches?Adriana Pitea, Ivan Kondofersky, Steffen Sass, et al.
Pageof 43

Showing results (121-130 of 426) with videos related to

Sort By:
Pageof 43
Bioinformatics (Oxford, England)|December 16, 2015
destiny: diffusion maps for large-scale single-cell data in RPhilipp Angerer, Laleh Haghverdi, Maren Büttner, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 23, 2014
Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profilesSameer S Bajikar, Christiane Fuchs, Andreas Roller, et al.
Omics : a Journal of Integrative Biology|February 19, 2011
Huge splicing frequency in human Y chromosomal UTY geneIngeborg Laaser, Fabian J Theis, Martin Hrabé de Angelis, et al.
Genome Biology|September 4, 2019
MPRAnalyze: statistical framework for massively parallel reporter assaysTal Ashuach, David S Fischer, Anat Kreimer, et al.
Plos Computational Biology|November 26, 2009
Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundaryDominik M Wittmann, Florian Blöchl, Dietrich Trümbach, et al.
International Journal of Molecular Sciences|December 24, 2015
MicroRNA-Target Network Inference and Local Network Enrichment Analysis Identify Two microRNA Clusters with Distinct Functions in Head and Neck Squamous Cell CarcinomaSteffen Sass, Adriana Pitea, Kristian Unger, et al.
Nature Methods|December 4, 2023
Modeling fragment counts improves single-cell ATAC-seq analysisLaura D Martens, David S Fischer, Vicente A Yépez, et al.
Frontiers in Immunology|July 30, 2019
Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in ImmunologySubarna Palit, Christoph Heuser, Gustavo P de Almeida, et al.
Nature Genetics|March 31, 2025
Causal machine learning for single-cell genomicsAlejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, et al.
Briefings in Bioinformatics|October 24, 2018
Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches?Adriana Pitea, Ivan Kondofersky, Steffen Sass, et al.
Pageof 43