AIMC Topic: Gene Ontology
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Machine learning-based predictions of dietary restriction associations across ageing-related genes.
BMC bioinformatics
Jan 4, 2022
BACKGROUND: Dietary restriction (DR) is the most studied pro-longevity intervention; however, a complete understanding of its underlying mechanisms remains elusive, and new research directions may emerge from the identification of novel DR-related ge...
Structural, functional and molecular pathogenesis of pelvic organ prolapse in patient and deficient mice.
Aging
Dec 19, 2021
Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis and an ideal animal model are crucial to developing promising treatments. The present study aimed to investigate new clinical significance and detail...
Gene prediction of aging-related diseases based on DNN and Mashup.
BMC bioinformatics
Dec 17, 2021
BACKGROUND: At present, the bioinformatics research on the relationship between aging-related diseases and genes is mainly through the establishment of a machine learning multi-label model to classify each gene. Most of the existing methods for predi...
A novel strategy to uncover specific GO terms/phosphorylation pathways in phosphoproteomic data in Arabidopsis thaliana.
BMC plant biology
Dec 14, 2021
BACKGROUND: Proteins are the workforce of the cell and their phosphorylation status tailors specific responses efficiently. One of the main challenges of phosphoproteomic approaches is to deconvolute biological processes that specifically respond to ...
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
Knowledge of protein functions plays an important role in biology and medicine. With the rapid development of high-throughput technologies, a huge number of proteins have been discovered. However, there are a great number of proteins without function...
GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path.
Journal of computational biology : a journal of computational molecular cell biology
Nov 29, 2021
Biomedical knowledge graphs are crucial to support data-intensive applications in the life sciences and health care. These graphs can be extended by generating a heterogeneous graph that contains both ontology terms and biomedical entities. However, ...
Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO).
PLoS computational biology
Oct 28, 2021
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying ...
A GO catalogue of human DNA-binding transcription factors.
Biochimica et biophysica acta. Gene regulatory mechanisms
Oct 18, 2021
To control gene transcription, DNA-binding transcription factors recognise specific sequence motifs in gene regulatory regions. A complete and reliable GO annotation of all DNA-binding transcription factors is key to investigating the delicate balanc...
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
BMC bioinformatics
Sep 22, 2021
BACKGROUND: With the rapid advancement of genomic sequencing techniques, massive production of gene expression data is becoming possible, which prompts the development of precision medicine. Deep learning is a promising approach for phenotype predict...
Identification of clinical trait-related small RNA biomarkers with weighted gene co-expression network analysis for personalized medicine in endocervical adenocarcinoma.
Aging
Sep 20, 2021
Endocervical adenocarcinoma (EAC) is an aggressive type of endocervical cancer. At present, molecular research on EAC mainly focuses on the genome and mRNA transcriptome, the investigation of small RNAs in EAC has not been fully described. Here, we s...
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