Genetics

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

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Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.

Discovering DNA-protein binding sites, also known as motif discovery, is the foundation for further ...

Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme.

The rapid development of high-throughput sequencing technology provides unique opportunities for stu...

Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization.

Computational classification of cancers is an important research problem. Gene expression data has 1...

A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data.

The correct classification of cancer subtypes is of great significance for the in-depth study of can...

Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes.

BACKGROUND: Identifying interaction effects between genes is one of the main tasks of genome-wide as...

Effective gene expression prediction from sequence by integrating long-range interactions.

How noncoding DNA determines gene expression in different cell types is a major unsolved problem, an...

Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.

Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing musc...

Advances in for Abiotic Stress Resilience: From 'Omics' to Artificial Intelligence.

Legumes are a better source of proteins and are richer in diverse micronutrients over the nutritiona...

PASS: Protein Annotation Surveillance Site for Protein Annotation Using Homologous Clusters, NLP, and Sequence Similarity Networks.

Advances in genome sequencing have accelerated the growth of sequenced genomes but at a cost in the ...

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot.

The purpose of mobile robot path planning is to produce the optimal safe path. However, mobile robot...

Hyperspectral Image Classification Using Deep Genome Graph-Based Approach.

Recently developed hybrid models that stack 3D with 2D CNN in their structure have enjoyed high popu...

4mC-RF: Improving the prediction of 4mC sites using composition and position relative features and statistical moment.

N4-methylcytosine (4 mC) is an important epigenetic modification that occurs enzymatically by the ac...

Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships.

Inferring phenotypic outcomes from genomic features is both a promise and challenge for systems biol...

EditPredict: Prediction of RNA editable sites with convolutional neural network.

RNA editing exerts critical impacts on numerous biological processes. While millions of RNA editings...

Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.

Assisted reproductive technologies (ART) are increasingly used, however little is known about the lo...

Mutations of PHOX2B Gene in Patients of Obesity Hypoventilation Syndrome in Central India.

 Paired-like homeobox 2B (PHOX2B) gene on chromosome 4p12 codes for a transcription factor having a...

Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approach.

Considering human brain disorders, Major Depressive Disorder (MDD) is seen as a lethal disease in wh...

Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

The achievement of the pathologic complete response (pCR) has been considered a metric for the succe...

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