Talks

Decoding gene regulation in the mouse embryo using single-cell multi-omics

Principles and challenges in single-cell data integration

Principles and challenges in single-cell data integration

The aim of this workshop is to provide an integrated view of data-driven hypothesis generation through biological network analysis, constraint-based modelling, and supervised and unsupervised integration methods

Discussion panel on challenges in multi-omics data integration

Multi-Omics Factor Analysis (MOFA): a statistical framework for the unsupervised integration of multi-omics data

Hackathon analyses on three case studies to identify hurdles, limitations and methods development strategies to move forward in the field of single-cell multi-omics

Multi-Omics Factor Analysis: a principled framework for the integration of large-scale multi-omics data

Integrative methods for multi-omics data integration

Single cell multi-omics profiling reveals a hierarchical epigenetic landscape during mammalian germ layer specification

Talk: Single-cell multi-omics profiling reveals a dynamic epigenetic landscape during mammalian germ layer specification

Multi-Omics factor analysis: a general framework for unsupervised integration of multi-omic data sets

Joint profiling of chromatin accessibility, DNA methylation and transcription in single cell

Joint profiling of chromatin accessibility DNA methylation and transcription in single cells

Disentangling the different sources of variation in multi-omics single-cell sequencing data