The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

A remarkable inherent feature of cellular metabolism is that the concentrations of a small but
significant number of metabolites are strongly correlated when measurements of biological …

Organizing data into sensible groupings is one of the most fundamental modes of
understanding and learning. As an example, a common scheme of scientific classification …

To enable arrayed or pooled loss-of-function screens in a wide range of mammalian cell
types, including primary and nondividing cells, we are developing lentiviral short hairpin …

Cellular phenotypes are determined by the differential activity of networks linking
coregulated genes. Available methods for the reverse engineering of such networks from …

Abstract k-means is a preeminent partitional based clustering method that finds k clusters
from the given dataset by computing distances from each point to k cluster centers iteratively …

The computational methods of bioinformatics are being used more and more to process the
large volume of current biological data. Promoting an understanding of the underlying …

Background Astrocyte activation is a characteristic response to injury in the central nervous
system, and can be either neurotoxic or neuroprotective, while the regulation of both roles …

Probabilistic logical rule learning has shown great strength in logical rule mining and
knowledge graph completion. It learns logical rules to predict missing edges by reasoning …

Probabilistic graphical models combine the graph theory and probability theory to give a
multivariate statistical modeling. They provide a unified description of uncertainty using …