AIMC Topic: Gene Ontology

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Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform.

BMC bioinformatics Jun 16, 2022
BACKGROUND: The Open Targets (OT) Platform integrates a wide range of data sources on target-disease associations to facilitate identification of potential therapeutic drug targets to treat human diseases. However, due to the complexity that targets ...
Drug Discovery Protein Interaction Maps Gene Ontology Machine Learning Power, Psychological Humans
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The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development.

BMC bioinformatics Mar 22, 2022
BACKGROUND: Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical...
Biological Ontologies Humans Gene Ontology Phenotype Xenopus laevis Animals
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Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

BioMed research international Mar 7, 2022
OBJECTIVES: Abdominal aortic aneurysm (AAA), a disease with high mortality, is limited by the current diagnostic methods in the early screening. This study aimed to screen novel and significant biomarkers and construct a diagnostic model for AAA by u...
Metabolic Networks and Pathways Gene Ontology Diagnosis, Computer-Assisted Databases, Genetic Aortic Aneurysm, Abdominal Humans Neural Networks, Computer
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Augmentation of Transcriptomic Data for Improved Classification of Patients with Respiratory Diseases of Viral Origin.

International journal of molecular sciences Feb 24, 2022
To better understand the molecular basis of respiratory diseases of viral origin, high-throughput gene-expression data are frequently taken by means of DNA microarray or RNA-seq technology. Such data can also be useful to classify infected individual...
Neural Networks, Computer Machine Learning COVID-19 Humans SARS-CoV-2 Gene Expression Profiling Transcriptome Algorithms Reproducibility of Results RNA-Seq Gene Ontology
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Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Hereditas Feb 21, 2022
Sepsis is a life-threatening condition in which the immune response is directed towards the host tissues, causing organ failure. Since sepsis does not present with specific symptoms, its diagnosis is often delayed. The lack of diagnostic accuracy res...
Sepsis Humans Gene Regulatory Networks Algorithms Support Vector Machine Gene Expression Profiling 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...
Longevity Algorithms Gene Ontology Machine Learning
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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...
Amino Acid Oxidoreductases Aged, 80 and over Animals Gene Ontology Middle Aged Pelvic Organ Prolapse Female Mice, Inbred C57BL Mice, Knockout Aged Humans Mice Disease Models, Animal Collagen
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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...
Computational Biology Gene Ontology Neural Networks, Computer Algorithms
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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 ...
Proteome Databases, Protein RNA, Messenger Genes, Plant Phosphoproteins Arabidopsis Microtubules Arabidopsis Proteins RNA Splicing Phosphorylation Gene Ontology RNA, Plant Seedlings
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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...
Proteins Deep Learning Software Protein Interaction Maps Molecular Sequence Annotation Gene Ontology Amino Acid Sequence Computational Biology Algorithms
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