Bonus Lecture: TrajectoryNet | ML for Single Cell Analysis

preview_player
Показать описание

  1. Krishnaswamy Lab
Рекомендации по теме
Bonus Lecture: TrajectoryNet 0:27:36

Bonus Lecture: TrajectoryNet | ML for Single Cell Analysis

TrajectoryNet: A Dynamic 0:14:45

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

'Optimal Transport for 0:58:08

'Optimal Transport for Statistics and Machine Learning' Prof. Philippe Rigollet, MIT

Interpolating Optimal Transport 0:06:00

Interpolating Optimal Transport Barycenters -- ISMB 2020 - HiTSeq

Optimal Transport Modeling 0:45:11

Optimal Transport Modeling of Population Dynamics in Single-Cell Biology - Charlotte Bunne

Aude Genevay: Bridging 0:35:41

Aude Genevay: Bridging the gap between optimal transport and MMD with Sinkhorn divergences

Harnessing Multimodal Single-Cell 0:29:06

Harnessing Multimodal Single-Cell Sequencing Data for Integrative Analysis

Geoffrey Schiebinger: 'Analyzing 0:38:45

Geoffrey Schiebinger: 'Analyzing Developmental Processes with Optimal Transport'

Lecture 6: Autoencoders 1:28:06

Lecture 6: Autoencoders and GANs | ML for Single-Cell Analysis

Optimal transport problem 0:09:57

Optimal transport problem

Lecture 1: Introduction 1:39:21

Lecture 1: Introduction to scRNA-seq and Preprocessing | ML for Single-Cell Analysis

Statistical mechanics models 0:52:01

Statistical mechanics models for cell differentiation

Geometric and Topological 0:34:45

Geometric and Topological Approaches to Representation Learning in Biomedical Data

Workshop 'Single Cell 0:35:26

Workshop 'Single Cell Genomics meets Data Science' - Session 5 'Dynamics'

Batch norm with 0:08:18

Batch norm with entropic regularization turns deterministic autoencoders into generative models

MIA: Shou-Wen Wang, 0:54:22

MIA: Shou-Wen Wang, Learning differentiation dynamics from lineage tracing datasets

Nicolas Courty: Optimal 0:54:46

Nicolas Courty: Optimal transport for graphs: definitions, applications to graph-signal processing

Michigan Biostatistics Presents 1:18:50

Michigan Biostatistics Presents a Seminar with Dr. Smita Krishnaswamy

MIA: Geoffrey Schiebinger, 1:34:26

MIA: Geoffrey Schiebinger, Learning developmental landscapes with optimal transport; Lénaïc Chizat

MIA: Charlotte Bunne, 1:50:40

MIA: Charlotte Bunne, Neural Optimal Transport for Cell Perturbation Responses; Primer by Oana Ursu

'Mean-Field Langevin Dynamics: 1:00:59

'Mean-Field Langevin Dynamics: convergence and applications' Prof. Lénaïc Chizat