Machine learning for single cell biology: insights and challenges by Dana Peโer. #NeurIPS2019
The representation challenge
On visualizing and modeling the data
On clustering single sell data
The challenge of inferring temporal progression of cell phenotype
An effort to map different cell types
There exist many challenges on how to analyze cell data
Data harmonization is a critical challenge
Ways in how deep learning is used in cell understanding
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Other challenges
Understanding response to therapy
Segmenting and analyzing cells is challenging
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