Genetics

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

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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.

Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase ...

Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.

BACKGROUND: It is a computational challenge for current metagenomic classifiers to keep up with the ...

Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in d...

Short k-mer abundance profiles yield robust machine learning features and accurate classifiers for RNA viruses.

High-throughput sequencing technologies have greatly enabled the study of genomics, transcriptomics ...

Evaluating the informativeness of deep learning annotations for human complex diseases.

Deep learning models have shown great promise in predicting regulatory effects from DNA sequence, bu...

CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.

BACKGROUND: Nucleosomes wrap the DNA into the nucleus of the Eukaryote cell and regulate its transcr...

DeepHE: Accurately predicting human essential genes based on deep learning.

Accurately predicting essential genes using computational methods can greatly reduce the effort in f...

Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.

BACKGROUND: Breast cancer is the most prevalent and among the most deadly cancers in females. Patien...

Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications.

Epigenetics is mainly comprised of features that regulate genomic interactions thereby playing a cru...

Identification of stem cells from large cell populations with topological scoring.

Machine learning and topological analysis methods are becoming increasingly used on various large-sc...

Machine Learning Prediction of Electronic Coupling between the Guanine Bases of DNA.

Charge transport in deoxyribonucleic acid (DNA) is of immense interest in biology and molecular elec...

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning.

It is important that antibiotics prescriptions are based on antimicrobial susceptibility data to ens...

A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.

The selection of gene identifier from microarray databases is a challenging task since microarray co...

iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network.

DNA-binding protein (DBP) and RNA-binding protein (RBP) are playing crucial roles in gene expression...

Accurate prediction of DNA N-methylcytosine sites via boost-learning various types of sequence features.

BACKGROUND: DNA N4-methylcytosine (4mC) is a critical epigenetic modification and has various roles ...

Insect-inspired jumping robots: challenges and solutions to jump stability.

Some insects can jump to heights that are several times their body length. At smaller scales, jumpin...

Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease.

Cardiovascular disease (CVD) is the number one leading cause for human mortality. Besides genetics a...

Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks.

Epidemiological studies show that SARS-CoV-2 infection leads to severe symptoms only in a fraction o...

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