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<i>ArchaicSeeker</i> 3.0: A deep-learning framework for scalable, haplotype-resolved inference of archaic introgression

2026-05-06

Abstract excerpt

Archaic introgression has left a significant mark on human genetic diversity, but reliably identifying introgressed segments remains a major challenge, especially with complex demographic histories and limited sample sizes. Existing methods often rely on demographic assumptions or cohort-specific parameter fitting, which compromises robustness and scalability. We introduce ArchaicSeeker 3.0 (AS3), a deep-learning...

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Literature Corpus work
97854cae-c19f-5fd6-b5e0-6a0b5261a915
DOI
10.64898/2026.05.05.722798
Open publication

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<i>ArchaicSeeker</i> 3.0: A deep-learning framework for scalable, haplotype-resolved inference of archaic introgressionDOI 10.64898/2026.05.05.722798
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