Genetics

Genetics

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

11,117 articles

Subcategories: Genetics

Showing 4600-4620 of 11,117 articles

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 33878118

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

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

Apr 2021 33875866

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 33875688

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

Ribozyme switches are a class of RNA-encoded genetic switch that support conditional regulation of g...

Apr 2021 33860764

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

An increasing number of density maps of macromolecular structures, including proteins and DNA/RNA co...

Apr 2021 33863902

CBCR: A Curriculum Based Strategy For Chromosome Reconstruction.

In this paper, we introduce a novel algorithm that aims to estimate chromosomes' structure from thei...

Apr 2021 33923653

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 33861732

The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.

Gliomas are primary malignant brain tumors. Monocytes have been proved to actively participate in tu...

Apr 2021 33959130

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

The optimization of therapeutic antibodies is time-intensive and resource-demanding, largely because...

Apr 2021 33859386

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.

The 2019 novel coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory...

Apr 2021 33859233

Analysis of Tumor Microenvironment Characteristics in Bladder Cancer: Implications for Immune Checkpoint Inhibitor Therapy.

The tumor microenvironment (TME) plays a crucial role in cancer progression and recent evidence has ...

Apr 2021 33936117

Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.

Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellf...

Apr 2021 33850210

Improving protein domain classification for third-generation sequencing reads using deep learning.

BACKGROUND: With the development of third-generation sequencing (TGS) technologies, people are able ...

Apr 2021 33836667

Artificial neural network model for predicting changes in ion channel conductance based on cardiac action potential shapes generated via simulation.

Many studies have revealed changes in specific protein channels due to physiological causes such as ...

Apr 2021 33837240

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

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

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

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

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

CBCR: A Curriculum Based Strategy For Chromosome Reconstruction.

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

The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.

Analysis of Tumor Microenvironment Characteristics in Bladder Cancer: Implications for Immune Checkpoint Inhibitor Therapy.

Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.

Improving protein domain classification for third-generation sequencing reads using deep learning.

Artificial neural network model for predicting changes in ion channel conductance based on cardiac action potential shapes generated via simulation.

i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites.

Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning.

Optimal Bayesian Transfer Learning for Count Data.

A Hybrid Supervised Approach to Human Population Identification Using Genomics Data.

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.

Distinguishing between recent balancing selection and incomplete sweep using deep neural networks.

Prediction of PCR amplification from primer and template sequences using recurrent neural network.

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