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Cited by in F6Publishing
For: Yang Q, Li Y, Li B, Gong Y. A novel multi-class classification model for schizophrenia, bipolar disorder and healthy controls using comprehensive transcriptomic data. Comput Biol Med 2022;148:105956. [PMID: 35981456 DOI: 10.1016/j.compbiomed.2022.105956] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Yang Q, Gong Y, Zhu F. Critical Assessment of the Biomarker Discovery and Classification Methods for Multiclass Metabolomics. Anal Chem 2023. [PMID: 36944135 DOI: 10.1021/acs.analchem.2c04402] [Reference Citation Analysis]
2 Yagin FH, Cicek İB, Alkhateeb A, Yagin B, Colak C, Azzeh M, Akbulut S. Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. Comput Biol Med 2023;154:106619. [PMID: 36738712 DOI: 10.1016/j.compbiomed.2023.106619] [Reference Citation Analysis]
3 Zafari N, Bathaei P, Velayati M, Khojasteh-Leylakoohi F, Khazaei M, Fiuji H, Nassiri M, Hassanian SM, Ferns GA, Nazari E, Avan A. Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer. Comput Biol Med 2023;155:106639. [PMID: 36805214 DOI: 10.1016/j.compbiomed.2023.106639] [Reference Citation Analysis]
4 Yang Q, Li B, Wang P, Xie J, Feng Y, Liu Z, Zhu F. LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data. Brief Bioinform 2022;23:bbac455. [PMID: 36274234 DOI: 10.1093/bib/bbac455] [Reference Citation Analysis]
5 Yang Q, Xing Q, Yang Q, Gong Y. Classification for psychiatric disorders including schizophrenia, bipolar disorder, and major depressive disorder using machine learning. Computational and Structural Biotechnology Journal 2022;20:5054-64. [DOI: 10.1016/j.csbj.2022.09.014] [Reference Citation Analysis]
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