Predicting potential target genes in molecular biology experiments using machine learning and multifaceted data sources-Reference-Cited by-同舟云学术

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Predicting potential target genes in molecular biology experiments using machine learning and multifaceted data sources

Published:2024-03 Issue:3 Volume:27 Page:109309
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Ito Kei K.,Tsuruoka Yoshimasa,Kitagawa Daiju

Funder

Japan Society for the Promotion of Science

Ministry of Education, Culture, Sports, Science and Technology

Japan Science and Technology Agency

Core Research for Evolutional Science and Technology

University of Tokyo

JSPS

Publisher

Elsevier BV

Reference58 articles.

1. FACTA: a text search engine for finding associated biomedical concepts;Tsuruoka;Bioinformatics,2008

2. Discovering and visualizing indirect associations between biomedical concepts;Tsuruoka;Bioinformatics,2011

3. Semantic MEDLINE: An advanced information management application for biomedicine;Rindflesch,2011

4. DLAD4U: deriving and prioritizing disease lists from PubMed literature;Shen;BMC Bioinf.,2018

5. Content-rich biological network constructed by mining PubMed abstracts;Chen;BMC Bioinf.,2004

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