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

Michael Vidne

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Journal of Computational Neuroscience|November 18, 2011
Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methodsLiam Paninski, Michael Vidne, Brian DePasquale, et al.
Scientific Reports|March 8, 2020
A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural NetworksLior Zimmerman, Ori Zelichov, Arie Aizenmann, et al.
European Journal of Cancer (Oxford, England : 1990)|April 17, 2021
Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitorsShumei Kato, Robert Porter, Ryosuke Okamura, et al.
Journal of Computational Neuroscience|August 4, 2009
A new look at state-space models for neural dataLiam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, et al.
The CRISPR Journal|April 19, 2019
CRISPR-Directed Gene Editing Catalyzes Precise Gene Segment Replacement <i>In Vitro</i> Enabling a Novel Method for Multiplex Site-Directed MutagenesisBrett M Sansbury, Amanda M Wagner, Gabi Tarcic, et al.
Journal of Computational Neuroscience|December 29, 2011
Modeling the impact of common noise inputs on the network activity of retinal ganglion cellsMichael Vidne, Yashar Ahmadian, Jonathon Shlens, et al.
Molecular Oncology|February 22, 2018
Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcomeMaud Kamal, Gabi Tarcic, Sylvain Dureau, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Computational Neuroscience|November 18, 2011
Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methodsLiam Paninski, Michael Vidne, Brian DePasquale, et al.
Scientific Reports|March 8, 2020
A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural NetworksLior Zimmerman, Ori Zelichov, Arie Aizenmann, et al.
European Journal of Cancer (Oxford, England : 1990)|April 17, 2021
Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitorsShumei Kato, Robert Porter, Ryosuke Okamura, et al.
Journal of Computational Neuroscience|August 4, 2009
A new look at state-space models for neural dataLiam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, et al.
The CRISPR Journal|April 19, 2019
CRISPR-Directed Gene Editing Catalyzes Precise Gene Segment Replacement <i>In Vitro</i> Enabling a Novel Method for Multiplex Site-Directed MutagenesisBrett M Sansbury, Amanda M Wagner, Gabi Tarcic, et al.
Journal of Computational Neuroscience|December 29, 2011
Modeling the impact of common noise inputs on the network activity of retinal ganglion cellsMichael Vidne, Yashar Ahmadian, Jonathon Shlens, et al.
Molecular Oncology|February 22, 2018
Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcomeMaud Kamal, Gabi Tarcic, Sylvain Dureau, et al.
Pageof 1