Genetics

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

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Showing 4936-4956 of 11,117 articles
A deep learning model to predict RNA-Seq expression of tumours from whole slide images.

Deep learning methods for digital pathology analysis are an effective way to address multiple clinic...

Aug 2020 32747659
An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transien...

Aug 2020 32831900
Chances and challenges of machine learning-based disease classification in genetic association studies illustrated on age-related macular degeneration.

Imaging technology and machine learning algorithms for disease classification set the stage for high...

Aug 2020 32741009
Functional fine-mapping of noncoding risk variants in amyotrophic lateral sclerosis utilizing convolutional neural network.

Recent large-scale genome-wide association studies have identified common genetic variations that ma...

Jul 2020 32732921
Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.

The study aims were to develop fracture prediction models by using machine learning approaches and g...

Jul 2020 32728911
Machine-learning approach expands the repertoire of anti-CRISPR protein families.

The CRISPR-Cas are adaptive bacterial and archaeal immunity systems that have been harnessed for the...

Jul 2020 32728052
Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response ...

Jul 2020 32724164
Patterns of 1,748 Unique Human Alloimmune Responses Seen by Simple Machine Learning Algorithms.

Allele specific antibody response against the polymorphic system of HLA is the allogeneic response m...

Jul 2020 32849576
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis.

We use deep transfer learning to quantify histopathological patterns across 17,355 hematoxylin and e...

Jul 2020 35122049
Pan-cancer image-based detection of clinically actionable genetic alterations.

Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environm...

Jul 2020 33763651
Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information.

The knowledge of DNA-binding proteins would help to understand the functions of proteins better in c...

Jul 2020 32775434
Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation.

For the past decades, simulation-based likelihood-free inference methods have enabled researchers to...

Jul 2020 32644216
Spiking Neural P Systems with Delay on Synapses.

Based on the feature and communication of neurons in animal neural systems, spiking neural P systems...

Jul 2020 32701003
Predicting gene regulatory regions with a convolutional neural network for processing double-strand genome sequence information.

With advances in sequencing technology, a vast amount of genomic sequence information has become ava...

Jul 2020 32701977
An enhanced machine learning tool for cis-eQTL mapping with regularization and confounder adjustments.

Many expression quantitative trait loci (eQTL) studies have been conducted to investigate the biolog...

Jul 2020 32700329
DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning.

N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic perfor...

Jul 2020 32707969
Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the cu...

Jul 2020 32690867
Cell type prioritization in single-cell data.

We present Augur, a method to prioritize the cell types most responsive to biological perturbations ...

Jul 2020 32690972
Cross-species regulatory sequence activity prediction.

Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences hav...

Jul 2020 32687525
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.

Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...

Jul 2020 32678261
Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping.

Predicting effects of gene regulatory elements (GREs) is a longstanding challenge in biology. Machin...

Jul 2020 32669542
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