ACM-BCB-SC21: ACM-BCB Workshop on Machine-Learning Methods for Single-Cell Analysis Online Online, MI, United States, August 1-4, 2021 |
Conference website | https://sites.google.com/view/new-trends-in-single-cell-geno/home |
Submission link | https://easychair.org/conferences/?conf=acmbcbsc21 |
Submission deadline | July 1, 2021 |
ACM-BCB 2021 Workshop: Machine-Learning Methods for Single-Cell Analysis
The new revolution brought by single-cell genomics technologies to various biomedical fields is exciting in that it can offer unprecedented views of the inner workings of cells. However, this is accompanied with numerous challenges in single-cell analysis including, noise, sparsity, “curse” of high dimensionality, and lack of continuous-time measurements. Moreover, single-cell data have rapidly evolved from mostly transcriptomics data, to much more complex and heterogenous multi-omics data and multi-modal data types. A recent perspective laid out “Eleven Grand Challenges in Single-Cell Data Science” (Genome Biology, 2020); however, overcoming these grand challenges requires significant efforts in methodological innovation and benchmarking standardization. This workshop aims to be a platform to engage active discussions and participation on new machine-learning methodologies for single-cell analysis. Topics include but are not limited to:
- Benchmarking/standardization of single-cell analysis methods
- Alignment of single-cell studies across technology platforms, tissues and organisms
- Integration of multi-omics data at single-cell resolution
- Integration of single-cell with spatially informed omics studies
- Inference of disease (eg. tumor) progression through time and space
- Scaling up of single-cell based inference to higher resolutions, at tissue, organ, individual and population levels
- Learning dynamics and trajectories from single-cell snapshots
Submission Guidelines
Key Dates:
- Abstract submissions due: July 5th, 2021
- Notification of abstract/poster acceptance: July 12th, 2021
Submission Guidelines:
- Work may be unpublished or previously published
- Abstracts may be up to 400 words, and may include a single figure and caption.
Committees
Program Committee
- TBD
Organizing committee
- Lana Garmire, University of Michigan
- Jie Liu, University of Michigan
- Smita Krishnaswamy, Yale University
- Joshua Welch, University of Michigan
Invited Speakers
- TBD
Contact
All questions about submissions should be emailed to Joshua Welch (welchjd@umich.edu) or Lana Garmire (lgarmire@med.umich.edu).