predict_expression

ai.genomicintelligence/genomic-intelligence · Verify this server

Predict a gene's expression from a TSS-centred window. Expression is cell-type-specific, so `description` (cell type / assay context, e.g. 'K562 cell line') is REQUIRED — the API rejects requests without it. The model scores exactly 9,198 bp centred on the TSS (±4,599). Two ways to supply that: - A sequence of exactly 9,198 bp already centred on the TSS. No `tss_index` needed — the midpoint is the only legal TSS. - A longer locus, 9,198–500,000 bp, plus `tss_index`: the 0-based offset of the TSS into it. The API cuts the window for you (sequence[tss_index-4599 : tss_index+4599]) and never scans for a TSS itself. Anything under 9,198 bp is rejected, here and by the API (422) — there is no padding or truncation fallback. `tss_index` is required for every other length, because a locus with no offset is indistinguishable from a mis-centred window. An offset that is merely WRONG (e.g. counted over a wrapped FASTA's characters, or against a chromosome coordinate instead of an offset into THIS sequence) still succeeds and scores the wrong window — verify meta.task_specific_counts.scored_window in the response. Easiest paths: fetch_gene_for_expression(gene) returns a ready-centred handle, and find_genes_and_predict_expression takes a raw region and finds each TSS for you.