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PaperclipPerfector  11mo ago (text post)   3493 thread views

Small-Scale Question Sunday for June 11, 2023

Do you have a dumb question that you're kind of embarrassed to ask in the main thread? Is there something you're just not sure about?

This is your opportunity to ask questions. No question too simple or too silly.

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Apologies for the naive question, but I'm largely ignorant of the nuts and bolts of AI/ML.

Many data formats in biology are just giant arrays, with each row representing a biological cell and columns representing a gene (RNA-Seq), parameter (flow cytometry). Sometimes rows are genetic variants and columns are various characteristics of said variant (minor allele frequency, predicted impact on protein function, etc).

Is there a way to feed this kind of data to LLMs? It seems trivial for chatGPT to parse 'This is an experiment looking at activation of CD8+ T cells, generate me a series of scatterplots and gates showcasing the data' but less trivial to parse the giant 500,000x15 (flow) or 10,000x20,000 (scRNA-Seq) arrays. Or is there a way for LLMs to interact with existing software?

Sorry, I think my description of what I was thinking of was exceptionally poor. I tried to elaborate in this comment.

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