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Subcategories: Genetics

Showing 4369-4389 of 11,117 articles

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...

Oct 2021 34609687

Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival.

Bisphenols are important environmental pollutants that are extensively studied due to different detr...

Oct 2021 34639124

WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models.

Biophysical protein-protein interactions perform dominant roles in the initiation and progression of...

Oct 2021 34185653

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...

Oct 2021 34650605

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...

Oct 2021 34607566

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...

Oct 2021 34608324

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

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

Oct 2021 34599274

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...

Sep 2021 34638885

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 ...

Sep 2021 36303767

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...

Sep 2021 34640786

AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome.

In genetics and related fields, huge amounts of data, such as genome sequences, are accumulating, an...

Sep 2021 34565757

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...

Sep 2021 34571005

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...

Sep 2021 34561450

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

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

Sep 2021 34562567

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...

Sep 2021 34556649

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...

Sep 2021 35982870

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...

Sep 2021 35401859

Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.

BACKGROUND: With the rapid advancement of genomic sequencing techniques, massive production of gene ...

Sep 2021 34551707

Browse Categories

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

Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival.

WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models.

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

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

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

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

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

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

Hyperspectral Image Classification Using Deep Genome Graph-Based Approach.

AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome.

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

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

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

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

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

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

Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.

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

Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment.

Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network.

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