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

William S Raymond

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

Pageof 1
Sort By:
Plos One|April 24, 2025
Identification of potential riboswitch elements in Homo sapiens mRNA 5'UTR sequences using positive-unlabeled machine learningWilliam S Raymond, Jacob DeRoo, Brian Munsky
Biorxiv : the Preprint Server for Biology|December 16, 2024
Identification of potential riboswitch elements in<i>Homo Sapiens</i>mRNA 5'UTR sequences using Positive-Unlabeled machine learningWilliam S Raymond, Jacob DeRoo, Brian Munsky
Biorxiv : the Preprint Server for Biology|November 19, 2025
MicroLive: An Image Processing Toolkit for Quantifying Live-cell Single-Molecule MicroscopyLuis U Aguilera, William S Raymond, Rhiannon M Sears, et al.
Bioinformatics Advances|April 17, 2026
MicroLive: an image processing toolkit for quantifying live-cell single-molecule microscopyLuis U Aguilera, William S Raymond, Rhiannon M Sears, et al.
Frontiers in Cell and Developmental Biology|June 16, 2023
Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experimentsWilliam S Raymond, Sadaf Ghaffari, Luis U Aguilera, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
Using Mechanistic Models and Machine Learning to Design Single-Color Multiplexed Nascent Chain Tracking ExperimentsWilliam S Raymond, Sadaf Ghaffari, Luis U Aguilera, et al.
Physical Biology|May 19, 2025
Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expressionLuis U Aguilera, Lisa M Weber, Eric Ron, et al.
Pageof 1

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

Sort By:
Pageof 1
Plos One|April 24, 2025
Identification of potential riboswitch elements in Homo sapiens mRNA 5'UTR sequences using positive-unlabeled machine learningWilliam S Raymond, Jacob DeRoo, Brian Munsky
Biorxiv : the Preprint Server for Biology|December 16, 2024
Identification of potential riboswitch elements in<i>Homo Sapiens</i>mRNA 5'UTR sequences using Positive-Unlabeled machine learningWilliam S Raymond, Jacob DeRoo, Brian Munsky
Biorxiv : the Preprint Server for Biology|November 19, 2025
MicroLive: An Image Processing Toolkit for Quantifying Live-cell Single-Molecule MicroscopyLuis U Aguilera, William S Raymond, Rhiannon M Sears, et al.
Bioinformatics Advances|April 17, 2026
MicroLive: an image processing toolkit for quantifying live-cell single-molecule microscopyLuis U Aguilera, William S Raymond, Rhiannon M Sears, et al.
Frontiers in Cell and Developmental Biology|June 16, 2023
Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experimentsWilliam S Raymond, Sadaf Ghaffari, Luis U Aguilera, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
Using Mechanistic Models and Machine Learning to Design Single-Color Multiplexed Nascent Chain Tracking ExperimentsWilliam S Raymond, Sadaf Ghaffari, Luis U Aguilera, et al.
Physical Biology|May 19, 2025
Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expressionLuis U Aguilera, Lisa M Weber, Eric Ron, et al.
Pageof 1