Genetics

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

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An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions.

BACKGROUND: Detection of gene-gene interaction (GGI) is a key challenge towards solving the problem ...

Mar 2017 28361694
GuideScan software for improved single and paired CRISPR guide RNA design.

We present GuideScan software for the design of CRISPR guide RNA libraries that can be used to edit ...

Mar 2017 28263296
Polymorphism of angiotensin-converting enzyme (rs4340) and diabetic nephropathy in Caucasians with type 2 diabetes mellitus.

Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countri...

Mar 2017 28289586
Case report of a novel mutation of the gene in a patient with branchio-oto-renal syndrome.

Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder characterized by the coexistence...

Mar 2017 28289595
DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.

The ability to estimate the age of the donor from recovered biological material at a crime scene can...

Feb 2017 28254385
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.

BACKGROUND: RNAs play key roles in cells through the interactions with proteins known as the RNA-bin...

Feb 2017 28245811
Genetic Variation in CD36 Is Associated with Decreased Fat and Sugar Intake in Obese Children and Adolescents.

BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms ...

Feb 2017 28237985
Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

The biological cause of clinically observed variability of normal tissue damage following radiothera...

Feb 2017 28233873
Revealing the inventory of type III effectors in Pantoea agglomerans gall-forming pathovars using draft genome sequences and a machine-learning approach.

Pantoea agglomerans, a widespread epiphytic bacterium, has evolved into a hypersensitive response an...

Feb 2017 28019708
Changing techniques in crop plant classification: molecularization at the National Institute of Agricultural Botany during the 1980s.

Modern methods of analysing biological materials, including protein and DNA sequencing, are increasi...

Feb 2017 28532336
Who's Who? Detecting and Resolving Sample Anomalies in Human DNA Sequencing Studies with Peddy.

The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA sam...

Feb 2017 28190455
Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction.

Multi-Instance (MI) learning has been proven to be effective for the genome-wide protein function pr...

Feb 2017 28165495
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma.

BACKGROUND: We have identified molecules that exhibit synthetic lethality in cells with loss of the ...

Feb 2017 28166733
Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks.

Accurate computational identification of promoters remains a challenge as these key DNA regulatory r...

Feb 2017 28158264
Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts.

Gene selection is a demanding task for microarray data analysis. The diverse complexity of different...

Feb 2017 28159597
Continuous Adaptive Population Reduction (CAPR) for Differential Evolution Optimization.

Differential evolution (DE) has been applied extensively in drug combination optimization studies in...

Jan 2017 28378610
Bosco: Boosting Corrections for Genome-Wide Association Studies With Imbalanced Samples.

In genome-wide association studies (GWAS), the acquired sequential data may exhibit imbalance struct...

Jan 2017 28141527
Sequence-specific bias correction for RNA-seq data using recurrent neural networks.

BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intell...

Jan 2017 28198674
Simultaneous Identification of Multiple Causal Mutations in Rice.

Next-generation sequencing technologies (NGST) are being used to discover causal mutations in ethyl ...

Jan 2017 28144247
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