Genetics

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

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Showing 4411-4431 of 10,613 articles
Identifying Cancer-Specific circRNA-RBP Binding Sites Based on Deep Learning.

Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in h...

Classification of DNA damages on segmented comet assay images using convolutional neural network.

BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subj...

Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorab...

Athena: Automated Tuning of k-mer based Genomic Error Correction Algorithms using Language Models.

The performance of most error-correction (EC) algorithms that operate on genomics reads is dependent...

Splice sites detection using chaos game representation and neural network.

A novel method is proposed to detect the acceptor and donor splice sites using chaos game representa...

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to...

A Deep Learning Approach for Detecting Copy Number Variation in Next-Generation Sequencing Data.

Copy number variants (CNV) are associated with phenotypic variation in several species. However, pro...

Jointly Integrating VCF-Based Variants and OWL-Based Biomedical Ontologies in MongoDB.

The development of the next-generation sequencing (NGS) technologies has led to massive amounts of V...

Constructive Prediction of Potential RNA Aptamers for a Protein Target.

Aptamers are short single-stranded nucleic acids that bind to target molecules with high affinity an...

Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can prov...

Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers.

As a large amount of genetic data are accumulated, an effective analytical method and a significant ...

Dysmorphology in a Genomic Era.

Dysmorphology is the practice of defining the morphologic phenotype of syndromic disorders. Genomic ...

The impact of artificial intelligence on the current and future practice of clinical cancer genomics.

Artificial intelligence (AI) is one of the most significant fields of development in the current dig...

Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.

Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in bre...

A deep learning framework to predict binding preference of RNA constituents on protein surface.

Protein-RNA interaction plays important roles in post-transcriptional regulation. However, the task ...

Association of polymorphisms in , , and with post-induction infliximab trough level in Crohn's disease patients.

BACKGROUND: Trough levels of the post-induction serum infliximab (IFX) are associated with short-ter...

Prediction of sgRNA on-target activity in bacteria by deep learning.

BACKGROUND: One of the main challenges for the CRISPR-Cas9 system is selecting optimal single-guide ...

Identification of genes of four malignant tumors and a novel prediction model development based on PPI data and support vector machines.

Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...

An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat.

In phenotype prediction the physical characteristics of an organism are predicted from knowledge of ...

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