During the last few years, important advances have been made in big data exploration,
complex pattern recognition and prediction of complex variables. Machine learning (ML) …

To attain promising pharmacotherapies, researchers have applied drug repurposing (DR)
techniques to discover the candidate medicines to combat the coronavirus disease 2019 …

Biological data generally contain complex and high-dimensional samples. In addition, the
number of samples in biological datasets is much fewer than the number of features, so the …

Microarray technology, as applied to the fields of bioinformatics, biotechnology, and
bioengineering, has made remarkable progress in both the treatment and prediction of many …

Background/Objectives: Accurate classification in cancer research is vital for devising
effective treatment strategies. Precise cancer classification depends significantly on …

Cancer Research has advanced during the past few years. Using high throughput
technology and advances in artificial intelligence, it is now possible to improve cancer …

Background Different machine learning techniques have been proposed to classify a wide
range of biological/clinical data. Given the practicability of these approaches accordingly …

Protein-peptide interactions have attracted the attention of many drug discovery scientists
due to their possible druggability features on most key biological activities such as …

Arthrospira platensis is a valuable natural health supplement consisting of various types of
vitamins, dietary minerals, and antioxidants. Although different studies have been conducted …

Thanks to the advances in the field of computational-based biology, a huge volume of
disease-related data has been generated so far. From the existing data, the disease-related …