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Genotype

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Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.

Schizophrenia bulletin
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phenotypes with the hopes of delineating how individual variation across thousands of variants corresponds to the clinical and etiologic heterogeneity wi...

Machine-learned analysis of the association of next-generation sequencing-based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin.

Pain
Heat pain and its modulation by capsaicin varies among subjects in experimental and clinical settings. A plausible cause is a genetic component, of which TRPV1 ion channels, by their response to both heat and capsaicin, are primary candidates. Howeve...

Technical note: an R package for fitting sparse neural networks with application in animal breeding.

Journal of animal science
Neural networks (NNs) have emerged as a new tool for genomic selection (GS) in animal breeding. However, the properties of NN used in GS for the prediction of phenotypic outcomes are not well characterized due to the problem of over-parameterization ...

Genotyping of Giardia duodenalis in vegetables cultivated with organic and chemical fertilizer from street markets and community vegetable gardens in a region of Southern Brazil.

Transactions of the Royal Society of Tropical Medicine and Hygiene
BACKGROUND: In order to investigate the occurrence of Giardia duodenalis and its genotypes in vegetables that are consumed raw, we analyzed samples cultivated with organic or chemical fertilizer, sold in street markets and from community vegetable ga...

Conditional asymptotic inference for the kernel association test.

Bioinformatics (Oxford, England)
MOTIVATION: The kernel association test (KAT) is popular in biological studies for its ability to combine weak effects potentially of opposite direction. Its P-value is typically assessed via its (unconditional) asymptotic distribution. However, such...

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...

[Young women with HIV infection acquired by vertical transmission: Expectations of having uninfected children].

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
INTRODUCTION: Pediatric antiretroviral therapy (ART), changed the prognosis of the disease, allowing young women infected by vertical transmission (TV) to be pregnant without risk for their fetus of acquiring this infection.

Generalized Multifactor Dimensionality Reduction (GMDR) Analysis of Drug-Metabolizing Enzyme-Encoding Gene Polymorphisms may Predict Treatment Outcomes in Indian Breast Cancer Patients.

World journal of surgery
BACKGROUND: Prediction of response and toxicity of chemotherapy can help personalize the treatment and choose effective yet non-toxic treatment regimen for a breast cancer patient. Interplay of variations in various drug-metabolizing enzyme (DME)-enc...