Machine learning has become an indispensable tool in bioinformatics research. Biomarkers act as indicators of any biological state of the body. It can help to detect different kinds of diseases.
Serological and molecular marker analysis helps in the identification of different alleles or genes responsible for the identification of specific EIDs.
An atherosclerotic vascular disease which affects the blood vessels other than those in the coronary circulation is known as the Peripheral arterial disease (PAD) (Espinola-Klein, 2011).
Various types of molecules, such as DNA (genes), proteins or hormones, can serve as biomarkers. Cancer biomarkers can include proteins, gene mutations (changes), gene rearrangements, extra copies of genes, or missing gene.
Micro RNA (miRNA) is 22 nucleotides long, single-stranded RNA molecules which play a crucial role in regulating the gene expression by translational repression.
The database for annotation, visualisation and integrated discovery (DAVID) is a bioinformatics tool that consists of an integrated biological database and analytical tools.
The increase in research in the area of biomarkers has improvement in diagnosis, prognosis, and prediction of treatment response in the patients with colorectal cancer.
Ischemic stroke occurs as a result of the disturbance in the blood supply to the brain, often due to blockage in one of the arteries that leads to the brain.