Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical
Graph Mining with R presents a" do-it-yourself" approach to extracting interesting patterns …

The increasing interest in larger spatial and temporal scale models and high resolution input
data processing comes at a price of higher computational demand. This price is evidently …

Microcystis is one of the most common and dominant bloom-forming cyanobacteria in
freshwater worldwide. The method for genotype detection based on traditional molecular …

Background The amount of data generated in large clinical and phenoty** studies that
use single-cell cytometry is constantly growing. Recent technological advances allow the …

Integrating data mining into business processes becomes crucial for business today.
Modern business process management frameworks provide great support for flexible …

Harmful cyanobacterial blooms cause many ecological disasters worldwide. During the
development of cyanobacterial blooms, the diversity and domination of cyanobacterial taxa …

The challenges regarding seamless integration of distributed, heterogeneous and multilevel
data arising in the context of contemporary, post-genomic clinical trials cannot be effectively …

Medicine is undergoing a revolution that is even transforming the nature of health care from
reactive to proactive. To serve these new and diverse needs, bioinformatics and data mining …

The objective of the ACGT (Advancing Clinico-Genomic Trials on Cancer: Open Grid
Services for improving Medical Knowledge Discovery, www. eu-acgt. org) project that has …

Genomics is the study of the complete genetic material (genome) of organisms. Since the
advent of complete genome sequencing, vast amounts of nucleotide and amino acid …