AIMC Topic: Protein Tyrosine Phosphatases

Clear Filters Showing 1 to 2 of 2 articles

Identification of gene profiles related to the development of oral cancer using a deep learning technique.

BMC medical genomics Feb 27, 2023
BACKGROUND: Oral cancer (OC) is a debilitating disease that can affect the quality of life of these patients adversely. Oral premalignant lesion patients have a high risk of developing OC. Therefore, identifying robust survival subgroups among them m...
Humans Prospective Studies Retrospective Studies Quality of Life Deep Learning Neoplasm Proteins Mouth Neoplasms Protein Tyrosine Phosphatases
View on PubMed DOI

Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BioMed research international Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Humans Machine Learning Gene Expression Regulation, Neoplastic Transcription Factors DNA Methylation Carrier Proteins DNA-Binding Proteins Genetic Markers Alzheimer Disease Patients Peptide Hydrolases Mitochondrial Proteins Microfilament Proteins Cyclin-Dependent Kinase Inhibitor p57 Protein Tyrosine Phosphatases
View on PubMed DOI
Popular Topics
Recent Journals