Search research articles
Contact Us
Filters
Showing results (1-10 of 35) with videos related to
Page
of 4
Sort By:
Gigascience
|
July 17, 2018
Clustering trees: a visualization for evaluating clusterings at multiple resolutions
Luke Zappia, Alicia Oshlack
Genome Biology
|
October 30, 2021
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Luke Zappia, Fabian J Theis
Plos Computational Biology
|
June 26, 2018
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
Luke Zappia, Belinda Phipson, Alicia Oshlack
Genome Biology
|
September 14, 2017
Splatter: simulation of single-cell RNA sequencing data
Luke Zappia, Belinda Phipson, Alicia Oshlack
F1000Research
|
May 23, 2017
Gene length and detection bias in single cell RNA sequencing protocols
Belinda Phipson, Luke Zappia, Alicia Oshlack
Genome Biology
|
December 16, 2021
splatPop: simulating population scale single-cell RNA sequencing data
Christina B Azodi, Luke Zappia, Alicia Oshlack, et al.
Hand (New York, N.Y.)
|
March 31, 2022
Complications Following Endoscopic and Open Trigger Finger Release: A Retrospective Comparative Study
Ather Mirza, Justin Mirza, Terence L Thomas, et al.
Genome Medicine
|
January 25, 2019
Single-cell analysis reveals congruence between kidney organoids and human fetal kidney
Alexander N Combes, Luke Zappia, Pei Xuan Er, et al.
Hand (New York, N.Y.)
|
February 2, 2023
Single-Portal Antegrade Endoscopic Trigger Finger Release: Cadaveric and Clinical Outcomes
Ather Mirza, Justin Mirza, Luke Zappia, et al.
Genome Biology
|
February 9, 2020
Opportunities and challenges in long-read sequencing data analysis
Shanika L Amarasinghe, Shian Su, Xueyi Dong, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
Gigascience
|
July 17, 2018
Clustering trees: a visualization for evaluating clusterings at multiple resolutions
Luke Zappia, Alicia Oshlack
Genome Biology
|
October 30, 2021
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Luke Zappia, Fabian J Theis
Plos Computational Biology
|
June 26, 2018
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
Luke Zappia, Belinda Phipson, Alicia Oshlack
Genome Biology
|
September 14, 2017
Splatter: simulation of single-cell RNA sequencing data
Luke Zappia, Belinda Phipson, Alicia Oshlack
F1000Research
|
May 23, 2017
Gene length and detection bias in single cell RNA sequencing protocols
Belinda Phipson, Luke Zappia, Alicia Oshlack
Genome Biology
|
December 16, 2021
splatPop: simulating population scale single-cell RNA sequencing data
Christina B Azodi, Luke Zappia, Alicia Oshlack, et al.
Hand (New York, N.Y.)
|
March 31, 2022
Complications Following Endoscopic and Open Trigger Finger Release: A Retrospective Comparative Study
Ather Mirza, Justin Mirza, Terence L Thomas, et al.
Genome Medicine
|
January 25, 2019
Single-cell analysis reveals congruence between kidney organoids and human fetal kidney
Alexander N Combes, Luke Zappia, Pei Xuan Er, et al.
Hand (New York, N.Y.)
|
February 2, 2023
Single-Portal Antegrade Endoscopic Trigger Finger Release: Cadaveric and Clinical Outcomes
Ather Mirza, Justin Mirza, Luke Zappia, et al.
Genome Biology
|
February 9, 2020
Opportunities and challenges in long-read sequencing data analysis
Shanika L Amarasinghe, Shian Su, Xueyi Dong, et al.
Page
of 4