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

Marinka Zitnik

Showing results (31-40 of 99) with videos related to

Pageof 10
Sort By:
Arxiv|February 20, 2025
Controllable Sequence Editing for Counterfactual GenerationMichelle M Li, Kevin Li, Yasha Ektefaie, et al.
Annual Review of Biomedical Data Science|May 15, 2024
Graph Artificial Intelligence in MedicineRuth Johnson, Michelle M Li, Ayush Noori, et al.
IEEE Transactions on Visualization and Computer Graphics|November 21, 2025
GNN101: Visual Learning of Graph Neural Networks in Your Web BrowserYilin Lu, Chongwei Chen, Yuxin Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language ModelsZhongzhan Huang, Shanshan Zhong, Pan Zhou, et al.
Nature Biomedical Engineering|September 9, 2025
Combinatorial prediction of therapeutic perturbations using causally inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Session Introduction: Graph Representations and Algorithms in BiomedicineBrianna Chrisman, Maya Varma, Sepideh Maleki, et al.
Cell Systems|May 29, 2024
On knowing a gene: A distributional hypothesis of gene functionJason J Kwon, Joshua Pan, Guadalupe Gonzalez, et al.
Biorxiv : the Preprint Server for Biology|January 23, 2024
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Nature Communications|November 10, 2021
Co-evolution based machine-learning for predicting functional interactions between human genesDoron Stupp, Elad Sharon, Idit Bloch, et al.
Pageof 10

Showing results (31-40 of 99) with videos related to

Sort By:
Pageof 10
Arxiv|February 20, 2025
Controllable Sequence Editing for Counterfactual GenerationMichelle M Li, Kevin Li, Yasha Ektefaie, et al.
Annual Review of Biomedical Data Science|May 15, 2024
Graph Artificial Intelligence in MedicineRuth Johnson, Michelle M Li, Ayush Noori, et al.
IEEE Transactions on Visualization and Computer Graphics|November 21, 2025
GNN101: Visual Learning of Graph Neural Networks in Your Web BrowserYilin Lu, Chongwei Chen, Yuxin Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language ModelsZhongzhan Huang, Shanshan Zhong, Pan Zhou, et al.
Nature Biomedical Engineering|September 9, 2025
Combinatorial prediction of therapeutic perturbations using causally inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Session Introduction: Graph Representations and Algorithms in BiomedicineBrianna Chrisman, Maya Varma, Sepideh Maleki, et al.
Cell Systems|May 29, 2024
On knowing a gene: A distributional hypothesis of gene functionJason J Kwon, Joshua Pan, Guadalupe Gonzalez, et al.
Biorxiv : the Preprint Server for Biology|January 23, 2024
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Frontiers in Genetics|May 24, 2019
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyWalter Nelson, Marinka Zitnik, Bo Wang, et al.
Nature Communications|November 10, 2021
Co-evolution based machine-learning for predicting functional interactions between human genesDoron Stupp, Elad Sharon, Idit Bloch, et al.
Pageof 10