AI Medical Compendium Topic:
Mutation

Clear Filters Showing 591 to 600 of 600 articles

DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders.

American journal of human genetics
In contrast to recessive conditions with biallelic inheritance, identification of dominant (monoallelic) mutations for Mendelian disorders is more difficult, because of the abundance of benign heterozygous variants that act as massive background nois...

A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.

Nucleic acids research
Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding their functional roles in gene expression regulation. However, current high-throughput experimental methods for identifying RBP targets, such as CLIP-s...

nala: text mining natural language mutation mentions.

Bioinformatics (Oxford, England)
MOTIVATION: The extraction of sequence variants from the literature remains an important task. Existing methods primarily target standard (ST) mutation mentions (e.g. 'E6V'), leaving relevant mentions natural language (NL) largely untapped (e.g. 'glu...

CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.

Nature genetics
CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. CIViC is committed to open-s...

A neural network prediction of environmental determinants of Anopheles sinensis knockdown resistance mutation to pyrethroids in China.

Journal of vector ecology : journal of the Society for Vector Ecology
Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both the mosquito response to insecticides and the selection of...

Optimization of the Production of Extracellular Polysaccharide from the Shiitake Medicinal Mushroom Lentinus edodes (Agaricomycetes) Using Mutation and a Genetic Algorithm-Coupled Artificial Neural Network (GA-ANN).

International journal of medicinal mushrooms
Exopolysaccharide (EPS) production by a strain of Lentinus edodes was studied via the effects of treatments with ultraviolet (UV) irradiation and acridine orange. Furthermore, optimization of EPS production was studied using a genetic algorithm coupl...

Long-term Virologic Suppression Despite Presence of Resistance-associated Mutations Among Perinatally HIV-infected Youth.

The Pediatric infectious disease journal
BACKGROUND: There is limited information on long-term consequences of continuing combination antiretroviral therapy (cART) consisting of <3 active drugs in treatment-experienced youth with perinatal HIV (PHIV). This study describes the clinical outco...

Mutation analysis of 6 spinocerebellar ataxia (SCA) types in patients from southern Turkey.

Turkish journal of medical sciences
BACKGROUND/AIM: Spinocerebellar ataxias (SCAs) are complex clinical and genetically heterogeneous, mostly autosomal dominant neurodegenerative diseases. At present, more than 30 hereditary SCA types have been associated with different gene mutations....

Machine learning from concept to clinic: reliable detection of BRAF V600E DNA mutations in thyroid nodules using high-dimensional RNA expression data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samples. Measurement of DNA mutations is increasingly common in clinical settings but only higher-preval...

Epistasis analysis using artificial intelligence.

Methods in molecular biology (Clifton, N.J.)
Here we introduce artificial intelligence (AI) methodology for detecting and characterizing epistasis in genetic association studies. The ultimate goal of our AI strategy is to analyze genome-wide genetics data as a human would using sources of exper...