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Subcategories: Genetics

Showing 4117-4137 of 10,472 articles

Predicting RNA SHAPE scores with deep learning.

Secondary structure prediction approaches rely typically on models of equilibrium free energies that...

May 2020 PMID: 32476596

Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.

Precision oncology involves effectively selecting drugs for cancer patients and planning an effectiv...

May 2020 PMID: 32473309

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complet...

May 2020 PMID: 32466777

Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.

PURPOSE: This paper presents a method to search for the worst-case configuration leading to the high...

May 2020 PMID: 32459032

Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?

A proposal of an updated system of the Organization of Scientific Biomedical Kowledge is presented, ...

May 2020 PMID: 33012492

Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis.

BACKGROUND AND PURPOSE: Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sc...

May 2020 PMID: 32453488

Artificial intelligence in gastroenterology: where are we heading?

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various m...

May 2020 PMID: 32458189

Predicting host taxonomic information from viral genomes: A comparison of feature representations.

The rise in metagenomics has led to an exponential growth in virus discovery. However, the majority ...

May 2020 PMID: 32453718

Identifying barley pan-genome sequence anchors using genetic mapping and machine learning.

We identified 1.844 million barley pan-genome sequence anchors from 12,306 genotypes using genetic m...

May 2020 PMID: 32448920

CHEER: HierarCHical taxonomic classification for viral mEtagEnomic data via deep leaRning.

The fast accumulation of viral metagenomic data has contributed significantly to new RNA virus disco...

May 2020 PMID: 32454212

LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick.

Long noncoding RNAs (lncRNAs) play critical roles in many pathological and biological processes, suc...

May 2020 PMID: 32454029

Rosetta custom score functions accurately predict ΔΔG of mutations at protein-protein interfaces using machine learning.

Protein-protein interfaces play essential roles in a variety of biological processes and many therap...

May 2020 PMID: 32441721

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks.

Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregula...

May 2020 PMID: 32444848

Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma.

Non-Hodgkin B-cell lymphomas (B-NHLs) are a highly heterogeneous group of mature B-cell malignancies...

May 2020 PMID: 32444689

A biochemically-interpretable machine learning classifier for microbial GWAS.

Current machine learning classifiers have successfully been applied to whole-genome sequencing data ...

May 2020 PMID: 32444610

A novel graph attention adversarial network for predicting disease-related associations.

Identifying complex human diseases at molecular level is very helpful, especially in diseases diagno...

May 2020 PMID: 32446956

Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contri...

May 2020 PMID: 32438586

Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform.

BACKGROUND: The aim of gene expression-based clinical modelling in tumorigenesis is not only to accu...

May 2020 PMID: 32429941

Browse Categories

Predicting RNA SHAPE scores with deep learning.

Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.

Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?

Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis.

Artificial intelligence in gastroenterology: where are we heading?

Predicting host taxonomic information from viral genomes: A comparison of feature representations.

Identifying barley pan-genome sequence anchors using genetic mapping and machine learning.

CHEER: HierarCHical taxonomic classification for viral mEtagEnomic data via deep leaRning.

LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick.

Rosetta custom score functions accurately predict ΔΔG of mutations at protein-protein interfaces using machine learning.

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks.

Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma.

A biochemically-interpretable machine learning classifier for microbial GWAS.

A novel graph attention adversarial network for predicting disease-related associations.

Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform.

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive.

Putative cell type discovery from single-cell gene expression data.

Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature.

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