Background Most proteins form macromolecular complexes to perform their biological
functions. However, experimentally determined protein complex data, especially of those …

During the past, there was a massive growth of knowledge of unknown proteins with the
advancement of high throughput microarray technologies. Protein function prediction is the …

Annotation of protein functions plays an important role in understanding life at the molecular
level. High‐throughput sequencing produces massive numbers of raw proteins sequences …

L-type lectin receptor kinases (LecRK) are membrane-spanning receptor-like kinases with
putative roles in biotic and abiotic stress responses and in plant development. In …

Background Proteins dynamically interact with each other to perform their biological
functions. The dynamic operations of protein interaction networks (PPI) are also reflected in …

Chemosensory proteins (CSPs) have been predicted to be involved in development;
however, direct evidence for their involvement is lacking and genetic basis is largely …

As a well-established feature selection algorithm, principal component analysis (PCA) is
often combined with the state-of-the-art classification algorithms to identify cancer molecular …

Background Gene clustering algorithms are massively used by biologists when analysing
omics data. Classical gene clustering strategies are based on the use of expression data …

Identifying protein complexes from protein-protein interaction networks (PPINs) is important
to understand the science of cellular organization and function. However, PPINs produced …

Protein complexes of physically interacting proteins play an important role in organizing
various biological processes in the cell. Therefore, correctly identifying complexes is useful …