Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to redu...

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Detalles Bibliográficos
Autores principales: Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Qu, Jingchun, Glessner, Joseph, Sleiman, Patrick M. A., Hakonarson, Hakon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037538/
https://www.ncbi.nlm.nih.gov/pubmed/33805976
http://dx.doi.org/10.3390/ijms22073364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037538/
https://www.ncbi.nlm.nih.gov/pubmed/33805976
http://dx.doi.org/10.3390/ijms22073364

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