AIMC Topic: Cell Cycle Proteins

Clear Filters Showing 21 to 26 of 26 articles

Immunohistochemistry and machine learning study of DNA replication-associated proteins in uterine epithelial tumors and precursor lesions.

Acta histochemica Jun 1, 2025
Endometrioid adenocarcinoma (EA) has been on the increase in recent years in developed countries. Early detection of endometrioid adenocarcinoma in the endometrial corpus is crucial for patient prognosis and early treatment, although their distinctio...
Female Aged Middle Aged Humans Machine Learning Cell Cycle Proteins Carcinoma, Endometrioid DNA Replication Uterine Neoplasms Immunohistochemistry Endometrial Neoplasms
View on PubMed DOI

Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.

Medicine Jan 31, 2025
Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanism still unclear. DNA damage repair (DDR) is essential for maintaining genome integrity. This study aimed to explore the role of DDR-related genes in t...
ROC Curve Computational Biology Nomograms DNA Damage Cell Cycle Proteins Humans Machine Learning DNA Repair Biomarkers Sepsis
View on PubMed DOI

Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

Investigative ophthalmology & visual science Jun 3, 2019
PURPOSE: To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for funct...
Visual Fields Visual Field Tests Cytoskeletal Proteins Tomography, Optical Coherence Mutation Retinal Cone Photoreceptor Cells Calmodulin-Binding Proteins Leber Congenital Amaurosis Genetic Therapy Cell Cycle Proteins Color Vision Defects Male Middle Aged Adolescent Antigens, Neoplasm Neoplasm Proteins Female Young Adult Adult Humans Machine Learning Retinitis Pigmentosa
View on PubMed DOI

DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies.

Nucleic acids research May 7, 2019
Although rapid progress has been made in computational approaches for prioritizing cancer driver genes, research is far from achieving the ultimate goal of discovering a complete catalog of genes truly associated with cancer. Driver gene lists predic...
Humans Machine Learning Software Neoplasms Cell Line, Tumor Mutation Datasets as Topic Nuclear Proteins Cell Cycle Proteins Gene Expression Regulation, Neoplastic Monte Carlo Method Cell Movement Atlases as Topic Cell Proliferation Neoplasm Proteins Oncogenes
View on PubMed DOI

NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions.

Nucleic acids research Jul 3, 2017
Peptides are extensively used to characterize functional or (linear) structural aspects of receptor-ligand interactions in biological systems, e.g. SH2, SH3, PDZ peptide-recognition domains, the MHC membrane receptors and enzymes such as kinases and ...
HLA-B7 Antigen HLA-B8 Antigen HLA-DRB1 Chains Sequence Alignment HLA-A1 Antigen Databases, Protein Humans Neural Networks, Computer Cell Cycle Proteins Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Peptides Software Binding Sites Internet Forkhead Transcription Factors Protein Binding Algorithms Trans-Activators Amino Acid Sequence Ligands
View on PubMed DOI

Identification of Cell Cycle-Regulated Genes by Convolutional Neural Network.

Combinatorial chemistry & high throughput screening Jan 1, 2017
BACKGROUND: The cell cycle-regulated genes express periodically with the cell cycle stages, and the identification and study of these genes can provide a deep understanding of the cell cycle process. Large false positives and low overlaps are big pro...
Saccharomyces cerevisiae Proteins Neural Networks, Computer Databases, Genetic Algorithms Saccharomyces cerevisiae Cell Cycle Proteins
View on PubMed DOI
Popular Topics
Recent Journals