Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

C Mar

Showing results (1-10 of 192) with videos related to

Pageof 20
Sort By:
Biophysical Reviews|January 9, 2019
The rise of the distributions: why non-normality is important for understanding the transcriptome and beyondJessica C Mar
BMC Bioinformatics|June 20, 2018
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression dataShuonan Chen, Jessica C Mar
Applied Optics|March 8, 2008
Efficient analysis of temporal broadening of a pulsed focused Gaussian beam in scattering mediaC Mar Blanca, C Saloma
Methods (San Diego, Calif.)|July 30, 2017
Changes in gene expression variability reveal a stable synthetic lethal interaction network in BRCA2-ovarian cancersRaymund Bueno, Jessica C Mar
Plos Computational Biology|December 31, 2009
Decomposition of gene expression state space trajectoriesJessica C Mar, John Quackenbush
Biology of Sex Differences|November 6, 2020
Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell typesTianyuan Lu, Jessica C Mar
Toxicology Letters|March 1, 1988
Effect of T-2 toxin on lipid peroxidation in rats: elevation of conjugated diene formationI M Chang, W C Mar
Intervirology|January 1, 1979
Comparative study of herpes group virus-induced DNA polymerasesE C Mar, E S Huang
Current Protocols in Neuroscience|April 23, 2008
Delay discounting and impulsive choice in the ratAdam C Mar, Trevor W Robbins
Genome Biology|December 16, 2006
Inferring steady state single-cell gene expression distributions from analysis of mesoscopic samplesJessica C Mar, Renee Rubio, John Quackenbush
Pageof 20

Showing results (1-10 of 192) with videos related to

Sort By:
Pageof 20
Biophysical Reviews|January 9, 2019
The rise of the distributions: why non-normality is important for understanding the transcriptome and beyondJessica C Mar
BMC Bioinformatics|June 20, 2018
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression dataShuonan Chen, Jessica C Mar
Applied Optics|March 8, 2008
Efficient analysis of temporal broadening of a pulsed focused Gaussian beam in scattering mediaC Mar Blanca, C Saloma
Methods (San Diego, Calif.)|July 30, 2017
Changes in gene expression variability reveal a stable synthetic lethal interaction network in BRCA2-ovarian cancersRaymund Bueno, Jessica C Mar
Plos Computational Biology|December 31, 2009
Decomposition of gene expression state space trajectoriesJessica C Mar, John Quackenbush
Biology of Sex Differences|November 6, 2020
Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell typesTianyuan Lu, Jessica C Mar
Toxicology Letters|March 1, 1988
Effect of T-2 toxin on lipid peroxidation in rats: elevation of conjugated diene formationI M Chang, W C Mar
Intervirology|January 1, 1979
Comparative study of herpes group virus-induced DNA polymerasesE C Mar, E S Huang
Current Protocols in Neuroscience|April 23, 2008
Delay discounting and impulsive choice in the ratAdam C Mar, Trevor W Robbins
Genome Biology|December 16, 2006
Inferring steady state single-cell gene expression distributions from analysis of mesoscopic samplesJessica C Mar, Renee Rubio, John Quackenbush
Pageof 20