Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: In recent years, a rapidly increasing number of RNA transcripts has been generated by thousands of sequencing projects around the world, creating enormous volumes of transcript data to be analyzed. An important problem to be addressed when analyzing this data is distinguishing between long non-coding RNAs (lncRNAs) and protein coding transcripts (PCTs). Thus, we present a Support Vecto...
One of the most important resistance mechanisms in Gram-negative bacteria today is the production of enzymes causing resistance to cephalosporin and carbapenem antibiotics. The spread of extended-spectrum β-lactamases (ESBL)- and carbapenemase- producing Gram-negative bacteria is an emerging global public health problem. The aim of the present study was to (i) assess the prevalence of carbapenem-r...
Gene expression signatures are commonly used as predictive biomarkers, but do not capture structural features within the tissue architecture. Here we ...
BACKGROUND: Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogen...
The adaptation of the CRISPR-Cas9 system as a genome editing technique has generated much excitement in recent years owing to its ability to manipulat...
CONTEXT: Hyperinsulinemia is often observed in obese people, owing to their insulin resistance accompanied by visceral fat accumulation, but the frequ...
It has been acknowledged that source databases recording experimentally supported human protein-protein interactions (PPIs) exhibit limited overlap. T...
The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentali...
Decision-making systems are an integral part of any autonomous device. With the recent developments in bio-nanorobots, smart drugs, and engineered vir...
Epistasis within disease-related genes (gene-gene interactions) was determined through contingency table measures based on multifactor dimensionality ...
Identifying robust survival subgroups of hepatocellular carcinoma (HCC) will significantly improve patient care. Currently, endeavor of integrating mu...
Understanding the molecular machinery involved in transcriptional regulation is central to improving our knowledge of an organism's development, disea...
and are bacterial species that colonize different animal hosts with sub-types that can cause life-threatening infections in humans. Source attributi...
Cancer is caused by germline and somatic mutations, which can share biological features such as amino acid change. However, integrated germline and so...
Few previous studies have reported on a combination response (hepatitis B virus (HBV) DNA undetected, alanine aminotransferase normalization and hepa...
A 33-year-old man with ulcerative colitis presented with 5-day history of fever, night sweats, abdominal pain and increased stool frequency. He was on...
OBJECTIVE: The use of artificial intelligence techniques to find out which Single Nucleotide Polymorphisms (SNPs) promote the development of a disease...
BACKGROUND: High-throughput experimental techniques have been dramatically improved and widely applied in the past decades. However, biological interp...
BACKGROUND: Although disease diagnosis has greatly benefited from next generation sequencing technologies, it is still difficult to make the right dia...
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine...