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Subcategories: Genetics

Showing 3634-3654 of 10,490 articles

Histopathological characteristics and artificial intelligence for predicting tumor mutational burden-high colorectal cancer.

BACKGROUND: Tumor mutational burden-high (TMB-H), which is detected with gene panel testing, is a pr...

Apr 2021 PMID: 33909150

Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics.

A combination of emerging genomic and artificial intelligence (AI) techniques may ultimately unlock ...

Apr 2021 PMID: 33926743

Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.

Artificial intelligence, or the discipline of developing computational algorithms able to perform ta...

Apr 2021 PMID: 33925407

Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning.

A key hurdle to making adeno-associated virus (AAV) capsid mediated gene therapy broadly beneficial ...

Apr 2021 PMID: 33986759

Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.

Accurate prediction of cancer stage is important in that it enables more appropriate treatment for p...

Apr 2021 PMID: 33905431

RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction.

Non-coding RNAs (ncRNAs) are important players in the cellular regulation of organisms from differen...

Apr 2021 PMID: 34164114

Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections.

The opportunistic exchange of information between vehicles can significantly contribute to reducing ...

Apr 2021 PMID: 33922529

Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to imp...

Apr 2021 PMID: 33975088

Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found...

Apr 2021 PMID: 33968281

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging.

To study genetic factors associated with brain aging, we first need to quantify brain aging. Statist...

Apr 2021 PMID: 34098431

Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques.

BACKGROUND/AIMS: To investigate the utility of a data-driven deep learning approach in patients with...

Apr 2021 PMID: 33879469

Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning.

The COVID-19 pandemic has demonstrated the serious potential for novel zoonotic coronaviruses to eme...

Apr 2021 PMID: 33878118

Distinguishing Rectal Cancer from Colon Cancer Based on the Support Vector Machine Method and RNA-sequencing Data.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Several studies have ...

Apr 2021 PMID: 33877555

Iterative single-cell multi-omic integration using online learning.

Integrating large single-cell gene expression, chromatin accessibility and DNA methylation datasets ...

Apr 2021 PMID: 33875866

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning.

BACKGROUND: Disruption of alternative splicing (AS) is frequently observed in cancer and might repre...

Apr 2021 PMID: 33921709

An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods.

Sampling impediments and paucity of suitable material for molecular analyses have precluded the stud...

Apr 2021 PMID: 33875688

A Comparative Performance Analysis of Computational Intelligence Techniques to Solve the Asymmetric Travelling Salesman Problem.

This paper presents a comparative performance analysis of some metaheuristics such as the African Bu...

Apr 2021 PMID: 33986793

Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge.

Advancements in sequencing have led to the proliferation of multi-omic profiles of human cells under...

Apr 2021 PMID: 33861732

Browse Categories

Histopathological characteristics and artificial intelligence for predicting tumor mutational burden-high colorectal cancer.

Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics.

Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.

Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning.

Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.

RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction.

Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections.

Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging.

Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques.

Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning.

Distinguishing Rectal Cancer from Colon Cancer Based on the Support Vector Machine Method and RNA-sequencing Data.

Iterative single-cell multi-omic integration using online learning.

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning.

An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods.

A Comparative Performance Analysis of Computational Intelligence Techniques to Solve the Asymmetric Travelling Salesman Problem.

CBCR: A Curriculum Based Strategy For Chromosome Reconstruction.

Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning.

A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements.

Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge.

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