Unsupervised AI reveals insect species-specific genome signatures.

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Bibliographic Details
Title: Unsupervised AI reveals insect species-specific genome signatures.
Authors: Sawada Y; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Minei R; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Tabata H; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Ikemura T; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Wada K; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Wada Y; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Nagata H; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan., Iwasaki Y; Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Tamura-cho, Japan.
Source: PeerJ [PeerJ] 2024 Mar 06; Vol. 12, pp. e17025. Date of Electronic Publication: 2024 Mar 06 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Internet ISSN: 2167-8359 (Electronic) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2167-8359
DOI:10.7717/peerj.17025