5 min knowledge from chatsheet: qptiff
Published:
Cheat sheets generated by ChatGPT. Click any thumbnail to view full size.


His/Him
I am a computational biologist interested in spatial omics, graph signal processing, foundation models, and immuno-oncology. Welcome to connect.
I am a bioinformatician working on NGS data analysis, reproducible pipelines, and machine learning for high-dimensional omics.
less than 1 minute read
Published:
Cheat sheets generated by ChatGPT. Click any thumbnail to view full size.
2 minute read
Published:
Closed-loop, ML-guided biological design has produced real wet-lab results since 2019. It has also produced a corrections record, and every closed-loop result that has been independently re-examined has come back smaller. A review of what the campaigns measured, at what sample cost, and against which baseline.
5 minute read
Published:
DeepMind has precomputed the predicted effect of all 9 billion possible single-letter changes in the human genome. It is the third time they have run this play — and the first time on a problem where the models’ best-documented weakness is exactly the thing the table is for.
8 minute read
Published:
Zarr v3 is not a cosmetic rewrite of v2. It reorganizes metadata, replaces the compressor with a typed codec pipeline, and adds sharding — which is the change that actually decides whether your dataset works on object storage. A practical comparison, and when each version is the right choice.
18 minute read
Published:
Where graph signal processing came from, how a field got named in 2013 by two papers that disagreed about what frequency means on a graph, how it reached biology, and the people whose work carries it now. With figures computed rather than drawn.
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