Genetics

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

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Deep learning approach for predicting functional Z-DNA regions using omics data.

Computational methods to predict Z-DNA regions are in high demand to understand the functional role ...

A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data.

The paradigm called genomic selection (GS) is a revolutionary way of developing new plants and anima...

Radiomic Detection of EGFR Mutations in NSCLC.

Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multi...

A DNA-Based Intelligent Expert System for Personalised Skin-Health Recommendations.

Intensive attention on personalised skin-health solutions is on account of incomparable love of skin...

A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data.

Dimensionality reduction is widely used in the visualization, compression, exploration and classific...

Single-Cell Techniques and Deep Learning in Predicting Drug Response.

Rapidly developing single-cell sequencing analyses produce more comprehensive profiles of the genomi...

The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome.

We report a systematic analysis of the DNA methylation variability in 1,595 samples of normal cell s...

Transfer learning enables prediction of CYP2D6 haplotype function.

Cytochrome P450 2D6 (CYP2D6) is a highly polymorphic gene whose protein product metabolizes more tha...

Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients.

Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essentia...

m5CPred-SVM: a novel method for predicting m5C sites of RNA.

BACKGROUND: As one of the most common post-transcriptional modifications (PTCM) in RNA, 5-cytosine-m...

Scalable classification of organisms into a taxonomy using hierarchical supervised learners.

Accurately identifying organisms based on their partially available genetic material is an important...

Correlations Between Phenotypes and Biological Process Ontologies in Monogenic Human Diseases.

A substantial body of research is focused to improve the understanding of the relationship between g...

Automatic Gene Function Prediction in the 2020's.

The current rate at which new DNA and protein sequences are being generated is too fast to experimen...

Discrimination of alcohol dependence based on the convolutional neural network.

In this paper, a total of 20 sites of single nucleotide polymorphisms (SNPs) on the serotonin 3 rece...

Application of ensemble learning to genomic selection in chinese simmental beef cattle.

Genomic selection (GS) using the whole-genome molecular makers to predict genomic estimated breeding...

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches.

Rifampicin resistance is a major therapeutic challenge, particularly in tuberculosis, leprosy, P. ae...

A Comprehensive Analysis of MicroRNAs in Human Osteoporosis.

MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various process...

Unlocking the efficiency of genomics laboratories with robotic liquid-handling.

In research and clinical genomics laboratories today, sample preparation is the bottleneck of experi...

The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa.

The SARS-CoV-2 pandemic has resulted in shortages of both critical reagents for nucleic acid purific...

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