Showing results (1-10 of 316) with videos related to
Sort By:
Pageof 32
Cell Reports Methods|July 10, 2024
Fatecode enables cell fate regulator prediction using classification-supervised autoencoder perturbationMehrshad Sadria, Anita Layton, Sidhartha Goyal, et al.Bioinformatics Advances|December 15, 2023
Adversarial training improves model interpretability in single-cell RNA-seq analysisMehrshad Sadria, Anita Layton, Gary D BaderGenome Biology|March 22, 2025
scVAEDer: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysisMehrshad Sadria, Anita LaytonBiophysical Journal|July 24, 2018
Single-Cell RNA Sequencing: A New Window into Cell Scale DynamicsSabyasachi Dasgupta, Gary D Bader, Sidhartha GoyalNAR Genomics and Bioinformatics|April 28, 2025
Discovering governing equations of biological systems through representation learning and sparse model discoveryMehrshad Sadria, Vasu SwaroopBioinformatics (Oxford, England)|August 23, 2024
FateNet: an integration of dynamical systems and deep learning for cell fate predictionMehrshad Sadria, Thomas M BuryPlos Computational Biology|October 8, 2020
Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers During the COVID-19 Pandemic: A Modeling AnalysisMehrshad Sadria, Anita T LaytonScientific Reports|February 9, 2022
Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling studyAnita T Layton, Mehrshad SadriaIscience|April 2, 2021
Aging affects circadian clock and metabolism and modulates timing of medicationMehrshad Sadria, Anita T LaytonViruses|July 2, 2021
Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential TreatmentsMehrshad Sadria, Anita T LaytonPageof 32