In order to identify the strategic topics and the thematic evolution structure of data mining
applied to healthcare, in this paper, a bibliometric performance and network analysis …

Breast cancer is the most common disease among women, with over 2.1 million new
diagnoses each year worldwide. About 30% of patients initially presenting with early stage …

Target-specific treatment modalities are currently not available for triple-negative breast
cancer (TNBC), and acquired chemotherapy resistance is a primary obstacle for the …

Gene co-expression network analysis (GCNA) can detect alterations in regulatory activities
in case/control comparisons. We propose a framework to detect novel genes and networks …

Background Cancer is a complex and heterogeneous disease with many possible genetic
and environmental causes. The same treatment for patients of the same cancer type often …

Background. Colorectal cancer (CRC) is one of the leading cancers worldwide. Several
studies have performed microarray data analyses for cancer classification and prognostic …

Here, we investigated the role of one gene that has been previously associated with human
prostate carcinoma cells—myelodysplasia/myeloid leukemia factor 1 interacting protein …

Background We address the problem of integratively analyzing multiple gene expression,
microarray datasets in order to reconstruct gene-gene interaction networks. Integrating …

Dipeptidyl peptides III (DPP III) is a dual-domain zinc exopeptidase that hydrolyzes peptides
of varying sequence and size. Despite attempts to elucidate and narrow down the broad …

Abstract Dipeptidyl peptidase III (DPP III) is a cytosolic, two-domain zinc-exopeptidase. It is
widely distributed in mammalian tissues, where it's involved in the final steps of normal …