Cargando…
Machine learning-based predictive models and drug prediction for schizophrenia in multiple programmed cell death patterns
BACKGROUND: Schizophrenia (SC) is one of the most common mental illnesses. However, the underlying genes that cause it and its effective treatments are unknown. Programmed cell death (PCD) is associated with many immune diseases and plays an important role in schizophrenia, which may be a diagnostic...
Autores principales: | Feng, Yu, Shen, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042291/ https://www.ncbi.nlm.nih.gov/pubmed/36993785 http://dx.doi.org/10.3389/fnmol.2023.1123708 |
Ejemplares similares
-
Schizophrenia and cell senescence candidate genes screening, machine learning, diagnostic models, and drug prediction
por: Feng, Yu, et al.
Publicado: (2023) -
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients
por: Peng, Ting, et al.
Publicado: (2023) -
Review of Machine Learning Methods for the Prediction and Reconstruction of Metabolic Pathways
por: Shah, Hayat Ali, et al.
Publicado: (2021) -
An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models
por: Parks, Conor, et al.
Publicado: (2020) -
Hierarchical machine learning model predicts antimicrobial peptide activity against Staphylococcus aureus
por: Khabaz, Hosein, et al.
Publicado: (2023)