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Nathan Lawlor

Showing results (1-10 of 17) with videos related to

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Molecular Metabolism|September 11, 2019
(Epi)genomic heterogeneity of pancreatic islet function and failure in type 2 diabetesNathan Lawlor, Michael L Stitzel
Bioinformatics (Oxford, England)|March 3, 2020
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq dataNathan Lawlor, Eladio J Marquez, Donghyung Lee, et al.
Trends in Genetics : TIG|March 2, 2017
Genomics of Islet (Dys)function and Type 2 DiabetesNathan Lawlor, Shubham Khetan, Duygu Ucar, et al.
Scientific Reports|November 20, 2018
Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)Donghyung Lee, Anthony Cheng, Nathan Lawlor, et al.
Scientific Reports|September 22, 2017
Alpha TC1 and Beta-TC-6 genomic profiling uncovers both shared and distinct transcriptional regulatory features with their primary islet counterpartsNathan Lawlor, Ahrim Youn, Romy Kursawe, et al.
Nucleic Acids Research|November 15, 2018
BiFET: sequencing Bias-free transcription factor Footprint Enrichment TestAhrim Youn, Eladio J Marquez, Nathan Lawlor, et al.
Cancer Informatics|June 23, 2016
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesNathan Lawlor, Alec Fabbri, Peiyong Guan, et al.
Plos One|September 24, 2014
Conceptualizing cancer drugs as classifiersPatrick Nathan Lawlor, Tomer Kalisky, Robert Rosner, et al.
Diabetes|September 6, 2018
Type 2 Diabetes-Associated Genetic Variants Regulate Chromatin Accessibility in Human IsletsShubham Khetan, Romy Kursawe, Ahrim Youn, et al.
Genome Research|November 20, 2016
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetesNathan Lawlor, Joshy George, Mohan Bolisetty, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Molecular Metabolism|September 11, 2019
(Epi)genomic heterogeneity of pancreatic islet function and failure in type 2 diabetesNathan Lawlor, Michael L Stitzel
Bioinformatics (Oxford, England)|March 3, 2020
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq dataNathan Lawlor, Eladio J Marquez, Donghyung Lee, et al.
Trends in Genetics : TIG|March 2, 2017
Genomics of Islet (Dys)function and Type 2 DiabetesNathan Lawlor, Shubham Khetan, Duygu Ucar, et al.
Scientific Reports|November 20, 2018
Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)Donghyung Lee, Anthony Cheng, Nathan Lawlor, et al.
Scientific Reports|September 22, 2017
Alpha TC1 and Beta-TC-6 genomic profiling uncovers both shared and distinct transcriptional regulatory features with their primary islet counterpartsNathan Lawlor, Ahrim Youn, Romy Kursawe, et al.
Nucleic Acids Research|November 15, 2018
BiFET: sequencing Bias-free transcription factor Footprint Enrichment TestAhrim Youn, Eladio J Marquez, Nathan Lawlor, et al.
Cancer Informatics|June 23, 2016
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesNathan Lawlor, Alec Fabbri, Peiyong Guan, et al.
Plos One|September 24, 2014
Conceptualizing cancer drugs as classifiersPatrick Nathan Lawlor, Tomer Kalisky, Robert Rosner, et al.
Diabetes|September 6, 2018
Type 2 Diabetes-Associated Genetic Variants Regulate Chromatin Accessibility in Human IsletsShubham Khetan, Romy Kursawe, Ahrim Youn, et al.
Genome Research|November 20, 2016
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetesNathan Lawlor, Joshy George, Mohan Bolisetty, et al.
Pageof 2