Showing results (801-810 of 1,491) with videos related to
Sort By:
Pageof 150
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 12, 2005
Modulefinder: a tool for computational discovery of cis regulatory modulesAnthony A Philippakis, Fangxue Sherry He, Martha L BulykPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Transferability of Geometric Patterns from Protein Self-Interactions to Protein-Ligand InteractionsAntoine Koehl, Milind Jagota, Dan D Erdmann-Pham, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified AttentionNicholas Bhattacharya, Neil Thomas, Roshan Rao, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Efficient Differentially Private Methods for a Transmission Disequilibrium Test in Genome Wide Association StudiesAkito Yamamoto, Tetsuo ShibuyaPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot ProductPeter Kochunov, Yizhou Ma, Kathryn S Hatch, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology MarkersJoshua J Levy, Carly A Bobak, Mustafa Nasir-Moin, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
CAMML: Multi-Label Immune Cell-Typing and Stemness Analysis for Single-Cell RNA-sequencingCourtney Schiebout, H Robert FrostPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Predicting Visuo-Motor Diseases From Eye Tracking DataKailas Vodrahalli, Maciej Filipkowski, Tiffany Chen, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix FactorizationShuangxia Ren, Yifeng Tao, Ke Yu, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
Making Compassionate Use More Useful: Using real-world data, real-world evidence and digital twins to supplement or supplant randomized controlled trialsDov GreenbaumPageof 150