SINCELLMOD-2020: SINGLE CELL DATA IN NETWORK MODELING
PROGRAM
Wednesday, March 4th

View this program: with abstractssession overviewtalk overview

08:50-10:00 Session 1
08:50
Introduction (abstract)
09:00
Making optimal use of your single-cell transcriptomic data: Building an analysis pipeline (abstract)
10:00-10:30Coffee Break (Poster viewing)
10:30-12:10 Session 2

Selected Abstracts

10:30
Causal network approach to identify molecular drivers of haematopoietic fate decisions (abstract)
10:55
Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories (abstract)
11:20
Machine Learning based Data Imputation for Single-Cell ChIP-seq (abstract)
11:45
A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases (abstract)
12:10-13:20Lunch Break
13:20-14:20 Session 3
13:20
The power of ONE: Immunology in the age of single cell genomics (abstract)
14:20-15:00 Session 4

Round table on the main problems, challenges, and perspectives of single cell data in network modeling.

15:00-15:20Coffee Break (Poster viewing)
15:20-16:10 Session 5

Selected Abstracts

15:20
Synthesis of Boolean Networks from Single Cell Trajectory-based Constraints (abstract)
15:45
A network perspective on macrophage phenotypes in the tumour microenvironment (abstract)
16:10-17:10 Session 6
16:10
Single-Cell Computational Systems Biology Approaches to Stem Cell Research and Regenerative Medicine (abstract)
17:10-17:30 Session 7

Conclusions, poster viewing, networking, discussions.