A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing.

Kim, Hyeonkyu; Choi, Hwisoo; Lee, Daewon; Kim, Junil

Kim, Hyeonkyu; Choi, Hwisoo; Lee, Daewon; Kim, Junil.

Affiliation

Kim H; School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea.
Choi H; School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea.
Lee D; School of Art and Technology, Chung-Ang University, 4726 Seodong-Daero, Anseong-Si, Gyeonggi-Do, 17546, Republic of Korea. dwlee@cau.ac.kr.
Kim J; School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea. junilkim@ssu.ac.kr.

Genes Genomics ; 46(1): 1-11, 2024 Jan.

Article de En | MEDLINE | ID: mdl-38032470

Sujet(s)
Mots clés

Gene regulatory networks; Reverse engineering; Single cell RNA sequencing; Trajectory inference

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Réseaux de régulation génique Langue: En Journal: Genes Genomics Année: 2024 Type de document: Article Pays de publication:

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