Identification of m6a-related signature genes in esophageal squamous cell carcinoma by machine learning method.
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| Title: | Identification of m6a-related signature genes in esophageal squamous cell carcinoma by machine learning method. |
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| Authors: | Shang QX; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Kong WL; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Huang WH; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Xiao X; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Hu WP; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Yang YS; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Zhang H; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Yang L; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Yuan Y; West China Hospital, Sichuan University, Chengdu, Sichuan, China., Chen LQ; West China Hospital, Sichuan University, Chengdu, Sichuan, China. |
| Source: | Frontiers in genetics [Front Genet] 2023 Jan 17; Vol. 14, pp. 1079795. Date of Electronic Publication: 2023 Jan 17 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1664-8021 |
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| DOI: | 10.3389/fgene.2023.1079795 |
