Latest AI and machine learning research in genetics for healthcare professionals.
To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatic...
The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons ...
Interactions between RNAs and proteins play essential roles in many important biological processes. ...
The study of Mendelian diseases and the identification of their causative genes are of great signifi...
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in an...
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associat...
In this paper, we give an overview of methodological issues related to the use of statistical learni...
BACKGROUND: Primary hemochromatosis is unusual in India. The homeostatic iron regulator (HFE) gene C...
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice ...
BACKGROUND: The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a gl...
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection ...
It has been found that each non-coding RNA (ncRNA) can act not only through its target gene, but als...
RNA-binding proteins (RBPs) are important in gene expression regulations by post-transcriptional con...
Cell cultures and cell lines are widely used in life science experiments. In conjunction with the 20...
Machine learning (ML) is a powerful technique to tackle many problems in data mining and predictive ...
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival o...
BACKGROUND: Pharmacogenomics (PGx) studies how genomic variations impact variations in drug response...
Understanding sleep and its perturbation by environment, mutation, or medication remains a central p...
Accurate identification of protein-DNA binding sites is significant for both understanding protein f...
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome...
Polyadenylation signals (PAS) are found in most protein-coding and some non-coding genes in eukaryot...