Genetics

Genetics

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

11,273 articles

Subcategories: Genetics

Showing 9073-9093 of 11,273 articles

Recent developments in pediatric retina.

PURPOSE OF REVIEW: Pediatric retina is an exciting, but also challenging field, where patient age an...

May 2020 32168002

Prediction of mutation effects using a deep temporal convolutional network.

MOTIVATION: Accurate prediction of the effects of genetic variation is a major goal in biological re...

Apr 2020 31746978

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.

MOTIVATION: The success of genome sequencing techniques has resulted in rapid explosion of protein s...

Apr 2020 31738385

Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.

Cancer is well recognized as a complex disease with dysregulated molecular networks or modules. Grap...

Mar 2020 30649169

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status has emerged as an important prognostic ma...

Mar 2020 31637430

Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.

BACKGROUND: Conventional MRI cannot be used to identify H3 K27M mutation status. This study aimed to...

Mar 2020 31563963

MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.

Small-animal imaging is an essential tool that provides noninvasive, longitudinal insight into novel...

Mar 2020 32280747

[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidit...

Feb 2020 32096372

DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules.

MOTIVATION: Recent advances in the areas of bioinformatics and chemogenomics are poised to accelerat...

Feb 2020 31504186

Ensembled machine learning framework for drug sensitivity prediction.

Drug sensitivity prediction is one of the critical tasks involved in drug designing and discovery. R...

Feb 2020 31931480

Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

To evaluate the clinical benefits of implementing pharmacogenomics testing for Chinese pediatric pa...

Feb 2020 31967514

Machine learning and its applications in plant molecular studies.

The advent of high-throughput genomic technologies has resulted in the accumulation of massive amoun...

Jan 2020 31867668

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.

MOTIVATION: Interactions among cis-regulatory elements such as enhancers and promoters are main driv...

Jan 2020 31318408

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Recent developments in pediatric retina.

Prediction of mutation effects using a deep temporal convolutional network.

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.

Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.

MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.

[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules.

Ensembled machine learning framework for drug sensitivity prediction.

Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

Machine learning and its applications in plant molecular studies.

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.

The reactome pathway knowledgebase.

BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree.

Deep Learning for Acute Myeloid Leukemia Diagnosis.

Future Vision 2020 and Beyond-5 Critical Trends in Eye Research.

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA.

DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.

Deep Learning in the Study of Protein-Related Interactions.

Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.

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