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Subcategories: Genetics

Showing 4306-4326 of 10,472 articles

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

BACKGROUND: The automatic segmentation of kidneys in medical images is not a trivial task when the s...

Dec 2019 PMID: 31830973

DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.

BACKGROUND: Calling genetic variations from sequence reads is an important problem in genomics. Ther...

Dec 2019 PMID: 31830921

Identification of aberrantly methylated‑differentially expressed genes and gene ontology in prostate cancer.

Prostate cancer (PCa) is the most frequent urological malignancy in men worldwide. DNA methylation h...

Dec 2019 PMID: 31974616

Hollow Alginate-Poly-L-Lysine-Alginate Microspheres Promoted an Epithelial-Mesenchymal Transition in Human Colon Adenocarcinoma Cells.

Today, there is an urgent need to develop a three-dimentional culture systems mimicking native con...

Dec 2019 PMID: 32002374

Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage.

BACKGROUND: In short-read DNA sequencing experiments, the read coverage is a key parameter to succes...

Dec 2019 PMID: 31829137

Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts.

Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...

Dec 2019 PMID: 31827222

PharmVar GeneFocus: CYP2D6.

The Pharmacogene Variation Consortium (PharmVar) provides nomenclature for the highly polymorphic hu...

Dec 2019 PMID: 31544239

The complete chloroplast genome of , lights into phylogenetic and taxonomic analyses.

a precious endangered species in China, it has a long history of growth and high ornamental and edi...

Dec 2019 PMID: 33366425

Discovery and annotation of novel microRNAs in the porcine genome by using a semi-supervised transductive learning approach.

Despite the broad variety of available microRNA (miRNA) prediction tools, their application to the d...

Dec 2019 PMID: 31816430

Identifying pseudoenzymes using functional annotation: pitfalls of common practice.

Pseudoenzymes are proteins that are evolutionary related to enzymes but lack relevant catalytic acti...

Dec 2019 PMID: 31733177

Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

PURPOSE: Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore...

Dec 2019 PMID: 31807867

Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).

Cypermethrin is a frequently used insecticide in agriculture and households but its chronic and mole...

Dec 2019 PMID: 32023783

Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method.

With qPCR reaching thousands of reactions per run, assay validation needs automation. We applied sup...

Dec 2019 PMID: 31809831

Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression.

Alignment-free methods, more time and memory efficient than alignment-based methods, have been widel...

Dec 2019 PMID: 31801606

Machine learning approach to single nucleotide polymorphism-based asthma prediction.

Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the h...

Dec 2019 PMID: 31800601

Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.

Bulliform cells comprise specialized cell types that develop on the adaxial (upper) surface of grass...

Dec 2019 PMID: 31645422

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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.

Identification of aberrantly methylated‑differentially expressed genes and gene ontology in prostate cancer.

Hollow Alginate-Poly-L-Lysine-Alginate Microspheres Promoted an Epithelial-Mesenchymal Transition in Human Colon Adenocarcinoma Cells.

Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage.

Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts.

PharmVar GeneFocus: CYP2D6.

The complete chloroplast genome of , lights into phylogenetic and taxonomic analyses.

Discovery and annotation of novel microRNAs in the porcine genome by using a semi-supervised transductive learning approach.

Identifying pseudoenzymes using functional annotation: pitfalls of common practice.

Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).

Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method.

Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression.

Machine learning approach to single nucleotide polymorphism-based asthma prediction.

Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.

TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies.

The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data.

NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.

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