I do not truly understand the Roche biochemical pathways poster.

Preoteomics, genomics, phenomics, connectomics. On the understanding and inference of networks of control in living systems using statistics. Generates lots of interesting problems at the nexus of various other statistical problems, like model selection, false discovery rates, causal graphs and so on.

Of course, there is a deep learning angle.

Is nilearn any good?


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