Single-cell technologies have emerged as a groundbreaking technique in molecular biology, providing unprecedented insights into cellular heterogeneity. Their unique characteristics have stimulated the development of a vast generation of computational methods aimed at profiling cell differentiation trajectories, reconstructing cell-type-specific gene regulatory networks, or inferring cell-to-cell communication, among others.
The goal of this session is to bring together different Computational Biology researchers at the interphase of single-cell data studies and modelling to discuss advancements on both ends and facilitate exchanges that could help accelerate research. The session welcomes success stories about interesting single-cell analyses, modelling frameworks that would welcome single-cell data and novel methods that bring these two communities closer together.
Call for Abstracts
We accept abstracts about computational methods integrating single-cell data, focusing on mathematical modelling and simulation protocols to predict relevant cellular features in different biological scenarios. These abstracts will be peer-reviewed by a panel of specialists, and those selected will be included in the programme as 15 min selected talks.
Relevant topics for the call for abstracts:
- Genomic heterogeneity
- Network modelling
- Reconstruction of gene regulatory networks
- Integrative multi-omics models
- Cell-to-cell communication
- Multiscale modelling
- AI/ML applications
Click here to submit your abstract and here for the abstract template. Submission deadline is 28 June.
Registration
Click here for the registration form.
