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Subcategories: Genetics

Showing 4768-4788 of 11,117 articles

Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.

BACKGROUND: With improvements in next-generation DNA sequencing technology, lower cost is needed to ...

Dec 2020 34336363

DeepA-RBPBS: A hybrid convolution and recurrent neural network combined with attention mechanism for predicting RBP binding site.

It's important to infer the binding site of RNA-binding proteins (RBP) for understanding the interac...

Dec 2020 33272122

Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.

Biomedical research often involves conducting experiments on model organisms in the anticipation tha...

Dec 2020 33277618

Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction ...

Dec 2020 33226957

Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization.

The homodyned K (HK) distribution allows a general description of ultrasound backscatter envelope st...

Dec 2020 33290957

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Sy...

Dec 2020 33261629

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

Understanding the genetic regulatory code governing gene expression is an important challenge in mol...

Dec 2020 33262328

Artiﬁcial intelligence applications for oncological positron emission tomography imaging.

Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is general...

Nov 2020 33307463

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.

Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate th...

Nov 2020 32746135

Identifying longevity associated genes by integrating gene expression and curated annotations.

Aging is a complex process with poorly understood genetic mechanisms. Recent studies have sought to ...

Nov 2020 33253142

Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks.

Predicting mutation-induced changes in protein thermodynamic stability (ΔΔG) is of great interest in...

Nov 2020 33253214

Essential gene prediction using limited gene essentiality information-An integrative semi-supervised machine learning strategy.

Essential gene prediction helps to find minimal genes indispensable for the survival of any organism...

Nov 2020 33253254

A machine learning framework for the prediction of chromatin folding in using epigenetic features.

Technological advances have lead to the creation of large epigenetic datasets, including information...

Nov 2020 33816958

Extraction of the molecular level biomedical event trigger based on gene ontology using radial belief neural network techniques.

Detection of molecular level biomedical event extraction plays a vital role in creating and visualiz...

Nov 2020 33259890

Browse Categories

Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.

DeepA-RBPBS: A hybrid convolution and recurrent neural network combined with attention mechanism for predicting RBP binding site.

Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.

Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization.

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

Artiﬁcial intelligence applications for oncological positron emission tomography imaging.

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.

Identifying longevity associated genes by integrating gene expression and curated annotations.

Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks.

Essential gene prediction using limited gene essentiality information-An integrative semi-supervised machine learning strategy.

A machine learning framework for the prediction of chromatin folding in using epigenetic features.

Extraction of the molecular level biomedical event trigger based on gene ontology using radial belief neural network techniques.

A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification.

Surveillance of SARS-CoV-2 in sewage and wastewater treatment plants in Mexico.

A Rare Case of Familial Neurogenic Diabetes Insipidus in a 22-Year-Old Man.

Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging.

Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images.

Identifying transcriptomic correlates of histology using deep learning.

Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer.

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