Jelili Oyelade

TL;DR: This review examines the various clustering algorithms applicable to the gene expression data in order to discover and provide useful knowledge of the appropriate clustering technique that will guarantee stability and high degree of accuracy in its analysis procedure.

TL;DR: Application of data clustering was systematically discussed in view of the characteristics of the different clustering techniques that make them better suited or biased when applied to several types of data, such as uncertain data, multimedia data, graph data, biological data, stream data, text data, time series data, categorical data and big data.

TL;DR: Phytochemicals isolated from young twigs and leaves of Caesalpinia bonduc displayed strong interactions with the proteins compared with their respective drug inhibitors suggesting that they can be developed as putative lead compounds for developing new anti-cancer drugs.

TL;DR: This review examines various methods applied to essential gene prediction task, their strengths, limitations and the factors responsible for effective computational prediction of essential genes to present the standard procedure and resources available for predicting essential genes in organisms.

TL;DR: This study looks at various computational methods used in literature for host-parasite/inter-species protein-protein interaction predictions with the hope of getting a better insight into computational methods using and whether machine learning approaches have been extensively used for the same purpose.