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This doesn’t cite the very significant example of DeepVariant (and as of 10/16/25 DeepSomatic) which convert genomic data to images in order to find DNA mutatio
by bonsai_spool 1y ago
This doesn’t cite the very significant example of DeepVariant (and as of 10/16/25 DeepSomatic) which convert genomic data to images in order to find DNA mutations. This has been done since the late 2010s
https://google.github.io/deepvariant/posts/2020-02-20-looking-through-deepvariants-eyes/ https://google.github.io/deepvariant/posts/2020-02-20-lookin...
- TZubiri 1y agoUsing these definitions, mapping datapoints in a graph is also converting data into an image in order to analyze it. Tabulating data into tables similarly converts image visually so that mistakes or outliers can be spotted.
- bonsai_spool 1y ago> Using these definitions There's a transformation of the data that is analogous to how a human would use the data to find a variant. It's closer to inspecting a stack of widgets to find a defective widget than it is listing numbers in a table
- TZubiri 1y agoSimilar to instepcting a stack of rows to find a defective row
- bonsai_spool 1y agoNo actually, pileups aren’t just looking at a stack of rows. There are quality considerations,local realignment, multiple mapping - the data are high dimensional (genome mapping, qualities, indels) in a way that can’t be trivialized to “inspecting a stack of rows to find a defective row” The work is not trivial even if the intuition is easy