An unprecedented way is accomplished by using concept words derived from statistical context analysis between sentences which is better than traditional methods that use only keyword representation. Through scaling to a ...

In the genome of every species, there exists an origin, known as the origin of replication (ORI), from where the genome starts to replicate itself during the process of cell division. Finding out this origin; is therefore ...

Proteins are one of the most important molecules that govern the cellular processes in organisms. Various functions of the proteins are of paramount importance to understand the basics of life. Several supervised learning ...

Customers are the driving force for a business to thrive. To make a new product, decisions have to be made whether this is something which the customers will resonate with. This is why it is absolutely necessary to understand ...

Class unbalanced datasets are widespread in various fields, including health, security, and banking. When dealing with imbalanced datasets, a standard supervised learning algorithm is biased toward the dominant class. In ...

Post-translational modification (PTM) is a biological process involving a protein’s enzymatic changes after its translation by the ribosome. Phosphorylation is one of the most critical PTMs that occurs when a phosphate ...

Text classification is one of the prominent tasks in the field of Natural language Processing as day by day the amount of textual data is growing rapidly, Therefore it is an emergent demand to build some kind of knowledge ...

Post Translational Modification (PTM) plays an essential role in the biological and molecular mechanisms. They are also considered as a vital element in cell signaling and networking pathways. Among different PTMs, Methylation ...

The condition of fetal overgrowth, also known as macrosomia, can cause serious health complications for both the mother and the infant. It is crucial to identify high-risk macrosomia- relevant pregnancies and intervene ...