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Machine Learning for Single Cell Analysis Workshop - June 17-19

Single cell methods, such as single cell RNA-sequencing, are becoming an increasingly popular way for scientists to probe the heterogeneity and dynamics of biological systems. However, analysis of single cell datasets is a challenging task. The data itself is large and noisy, and choosing the correct tools for analysis requires sifting through literally hundreds of published methods.

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