Anaemia is a common health problem worldwide that disproportionately affects vulnerable
groups, such as children and expectant mothers. It has a variety of underlying causes, some …

In order to deepen our understanding of the virus and help guide the creation of efficient
therapies, this study uses artificial intelligence tools to thoroughly explore the genetic …

Text mining (TM) is a technique that aims to extract knowledge from unstructured data
sources by transforming them into structured data. TM algorithms can be used to detect …

Proteins play a crucial role in living organisms, and understanding protein-protein
interactions is vital for comprehending their functions and aiding drug discovery. In recent …

Predicting Protein-protein interactions are central to understanding the intricate mechanisms
governing cellular functions, as proteins seldom act in isolation. While current machine …

Scientific research has played a significant role in driving human progress and technological
advancements. However, the importance of ethical considerations in research cannot be …

DNA Barcodes, which are distinct fragments derived from brief sections of DNA (such as
mitochondria, nucleus, and plastid sequences), can be used to identify organisms from the …

Scientific research has played a significant role in driving human progress and technological
advancements. However, the importance of ethical considerations in research cannot be …

DNA Barcodes, which are particular fragments derived from brief sections of DNA (such as
mitochondrial, nuclear, and plastid sequences), can be used to identify organisms from the …

In this paper, differential gene expression (DGE) data in schizophrenia is analysed using
machine learning approaches with the objective of predicting cell phenotypes related to the …