AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Gene Ontology

Showing 391 to 400 of 570 articles

Clear Filters

Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic.

Computers in biology and medicine
To address important challenges in bioinformatics, high throughput data technologies are needed to interpret biological data efficiently and reliably. Clustering is widely used as a first step to interpreting high dimensional biological data, such as...

Construction of an ortholog database using the semantic web technology for integrative analysis of genomic data.

PloS one
Recently, various types of biological data, including genomic sequences, have been rapidly accumulating. To discover biological knowledge from such growing heterogeneous data, a flexible framework for data integration is necessary. Ortholog informati...

Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature.

Database : the journal of biological databases and curation
Ambiguous gene names in the biomedical literature are a barrier to accurate information extraction. To overcome this hurdle, we generated Ontology Fingerprints for selected genes that are relevant for personalized cancer therapy. These Ontology Finge...

Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.

Computational biology and chemistry
Protein-protein interactions (PPIs) play essential roles in many biological processes. In protein-protein interaction networks, hubs involve in numbers of PPIs and may constitute an important source of drug targets. The intrinsic disorder proteins (I...

De novo transcriptome assembly of pummelo and molecular marker development.

PloS one
Pummelo (Citrus grandis) is an important fruit crop worldwide because of its nutritional value. To accelerate the pummelo breeding program, it is essential to obtain extensive genetic information and develop relative molecular markers. Here, we obtai...

GRYFUN: a web application for GO term annotation visualization and analysis in protein sets.

PloS one
Functional context for biological sequence is provided in the form of annotations. However, within a group of similar sequences there can be annotation heterogeneity in terms of coverage and specificity. This in turn can introduce issues regarding th...

Integrating biological knowledge based on functional annotations for biclustering of gene expression data.

Computer methods and programs in biomedicine
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect...

Ontology application and use at the ENCODE DCC.

Database : the journal of biological databases and curation
The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a catalog of genomic annotations. To date, the project has generated over 4000 experiments across more than 350 cell lines and tissues using a wide array o...

Shared resources, shared costs--leveraging biocuration resources.

Database : the journal of biological databases and curation
The manual curation of the information in biomedical resources is an expensive task. This article argues the value of this approach in comparison with other apparently less costly options, such as automated annotation or text-mining, then discusses w...

Automatic concept recognition using the human phenotype ontology reference and test suite corpora.

Database : the journal of biological databases and curation
Concept recognition tools rely on the availability of textual corpora to assess their performance and enable the identification of areas for improvement. Typically, corpora are developed for specific purposes, such as gene name recognition. Gene and ...