Genetics

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

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Showing 4789-4809 of 11,117 articles
Facial Expression Recognition Using Frequency Neural Network.

Facial expression recognition has become a newly-emerging topic in recent decades, which has importa...

Nov 2020 33201812
Transforming the study of organisms: Phenomic data models and knowledge bases.

The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across ...

Nov 2020 33232313
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in m...

Nov 2020 33226787
Identification of contributing genes of Huntington's disease by machine learning.

BACKGROUND: Huntington's disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) ...

Nov 2020 33228685
Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype.

Genotype plays a significant role in determining characteristics in an organism and genotype calling...

Nov 2020 33810991
Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways.

Hippo pathway dysregulation occurs in multiple cancers through genetic and nongenetic alterations, r...

Nov 2020 33208393
Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance.

Sugarcane is an economically important crop, but its genomic complexity has hindered advances in mol...

Nov 2020 33208862
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier.

Predicting the phenotypes resulting from molecular perturbations is one of the key challenges in gen...

Nov 2020 33206638
Screening of important metabolites and KRAS genotypes in colon cancer using secondary ion mass spectrometry.

Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is an imaging-based analytical technique t...

Nov 2020 34027089
Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning.

Traces from single-molecule fluorescence microscopy (SMFM) experiments exhibit photophysical artifac...

Nov 2020 33203879
Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods.

This study aimed to assess the predictive ability of different machine learning (ML) methods for gen...

Nov 2020 33191532
Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters.

In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in heal...

Nov 2020 33188540
Diagnosis of thyroid neoplasm using support vector machine algorithms based on platelet RNA-seq.

OBJECTIVE: To assess the capacity of support vector machine (SVM) algorithms that are developed base...

Nov 2020 33179221
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.

BACKGROUND: Protein kinases are a large family of druggable proteins that are genomically and proteo...

Nov 2020 33183223
DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features.

BACKGROUND: Circular RNAs (circRNAs) are special noncoding RNA molecules with closed loop structures...

Nov 2020 33183227
Deep learning based DNA:RNA triplex forming potential prediction.

BACKGROUND: Long non-coding RNAs (lncRNAs) can exert functions via forming triplex with DNA. The cur...

Nov 2020 33183242
Robot-assisted adrenalectomy: state of the art.

Currently, laparoscopic adrenalectomy is worldwide considered the gold standard technique. Both tran...

Nov 2020 33175318
Predicting antibody affinity changes upon mutations by combining multiple predictors.

Antibodies are proteins working in our immune system with high affinity and specificity for target a...

Nov 2020 33177627
Spider webs inspiring soft robotics.

In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent e...

Nov 2020 33171072
Deep learning predicts short non-coding RNA functions from only raw sequence data.

Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many bi...

Nov 2020 33175836
Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach.

BACKGROUND: Information on protein-protein interactions affected by mutations is very useful for und...

Nov 2020 33167858
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