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

Thomas Blasi

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Physical Biology|February 16, 2017
cgCorrect: a method to correct for confounding cell-cell variation due to cell growth in single-cell transcriptomicsThomas Blasi, Florian Buettner, Michael K Strasser, et al.
Methods (San Diego, Calif.)|September 6, 2016
An open-source solution for advanced imaging flow cytometry data analysis using machine learningHolger Hennig, Paul Rees, Thomas Blasi, et al.
Cell Systems|May 3, 2016
Combinatorial Histone Acetylation Patterns Are Generated by Motif-Specific ReactionsThomas Blasi, Christian Feller, Justin Feigelman, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Nature Communications|January 8, 2016
Label-free cell cycle analysis for high-throughput imaging flow cytometryThomas Blasi, Holger Hennig, Huw D Summers, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Physical Biology|February 16, 2017
cgCorrect: a method to correct for confounding cell-cell variation due to cell growth in single-cell transcriptomicsThomas Blasi, Florian Buettner, Michael K Strasser, et al.
Methods (San Diego, Calif.)|September 6, 2016
An open-source solution for advanced imaging flow cytometry data analysis using machine learningHolger Hennig, Paul Rees, Thomas Blasi, et al.
Cell Systems|May 3, 2016
Combinatorial Histone Acetylation Patterns Are Generated by Motif-Specific ReactionsThomas Blasi, Christian Feller, Justin Feigelman, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Nature Communications|January 8, 2016
Label-free cell cycle analysis for high-throughput imaging flow cytometryThomas Blasi, Holger Hennig, Huw D Summers, et al.
Pageof 1