Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Showing 4495-4515 of 10,617 articles
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.

Neuroimaging and genetic biomarkers have been widely studied from discriminative perspectives toward...

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.

White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their charac...

Single T Cell Sequencing Demonstrates the Functional Role of TCR Pairing in Cell Lineage and Antigen Specificity.

Although structural studies of individual T cell receptors (TCRs) have revealed important roles for ...

Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.

Metabolic reprogramming is a hallmark of cancer. In cancer cells, transcription factors (TFs) govern...

A novel bio-heuristic computing algorithm to solve the capacitated vehicle routing problem based on Adleman-Lipton model.

DNA computing, as one of potential means to solve complicated computational problems, is a new field...

Identification of city specific important bacterial signature for the MetaSUB CAMDA challenge microbiome data.

BACKGROUND: Metagenomic data of whole genome sequences (WGS) from samples across several cities arou...

A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons.

It is known that brain can create a sparse representation of the environment in both sensory and mne...

A Guide for Using Deep Learning for Complex Trait Genomic Prediction.

Deep learning (DL) has emerged as a powerful tool to make accurate predictions from complex data suc...

Wx: a neural network-based feature selection algorithm for transcriptomic data.

Next-generation sequencing (NGS), which allows the simultaneous sequencing of billions of DNA fragme...

Visualizing complex feature interactions and feature sharing in genomic deep neural networks.

BACKGROUND: Visualization tools for deep learning models typically focus on discovering key input fe...

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.

Discovering and accurately locating drug targets is of great significance for the research and devel...

Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research.

Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets...

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...

PolyCRACKER, a robust method for the unsupervised partitioning of polyploid subgenomes by signatures of repetitive DNA evolution.

BACKGROUND: Our understanding of polyploid genomes is limited by our inability to definitively assig...

Machine and deep learning meet genome-scale metabolic modeling.

Omic data analysis is steadily growing as a driver of basic and applied molecular biology research. ...

Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes.

To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism,...

Future of Radiotherapy in Nasopharyngeal Carcinoma.

Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as asso...

The optoelectronic microrobot: A versatile toolbox for micromanipulation.

Microrobotics extends the reach of human-controlled machines to submillimeter dimensions. We introdu...

In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.

Hemolytic toxicity of small molecules, as one of the important ADMET end points, can cause the lysis...

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