Genetics

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

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Machine learning analysis of DNA methylation in a hypoxia-immune model of oral squamous cell carcinoma.

BACKGROUND: Hypoxia status and immunity are related with the development and prognosis of oral squam...

Codon optimization with deep learning to enhance protein expression.

Heterologous expression is the main approach for recombinant protein production ingenetic synthesis,...

Predicting antimicrobial resistance using conserved genes.

A growing number of studies are using machine learning models to accurately predict antimicrobial re...

Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm.

In the field of robot path planning, aiming at the problems of the standard genetic algorithm, such ...

Development of a prognostic model for mortality in COVID-19 infection using machine learning.

Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection with severe acute re...

Using Deep Learning to Extrapolate Protein Expression Measurements.

Mass spectrometry (MS)-based quantitative proteomics experiments typically assay a subset of up to 6...

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...

Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.

Animal models of human disease provide an system that can reveal molecular mechanisms by which muta...

Implementing logical inference based on DNA assembly.

Algorithms and information processing, fundamental to biological system, are an essential aspect of ...

Statistical and Machine-Learning Analyses in Nutritional Genomics Studies.

Nutritional compounds may have an influence on different OMICs levels, including genomics, epigenomi...

Deep learning in next-generation sequencing.

Next-generation sequencing (NGS) methods lie at the heart of large parts of biological and medical r...

Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.

The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic s...

Predicting 3D genome folding from DNA sequence with Akita.

In interphase, the human genome sequence folds in three dimensions into a rich variety of locus-spec...

DeepC: predicting 3D genome folding using megabase-scale transfer learning.

Predicting the impact of noncoding genetic variation requires interpreting it in the context of thre...

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition.

Human activity recognition has become an important research topic within the field of pervasive comp...

Spage2vec: Unsupervised representation of localized spatial gene expression signatures.

Investigations of spatial cellular composition of tissue architectures revealed by multiplexed in si...

Application of deep learning in genomics.

In recent years, deep learning has been widely used in diverse fields of research, such as speech re...

Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data.

Single-cell protein abundance is a fundamental type of information to characterize cell states. Due ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence.

BACKGROUND: Cancer of unknown primary (CUP), representing approximately 3-5% of all malignancies, is...

Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation.

INTRODUCTION: The course of COVID-19 varies from asymptomatic to severe in patients. The basis for t...

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