Related Experiment Video
Updated: Jan 28, 2026

Generation of Tumor Organoids from Genetically Engineered Mouse Models of Prostate Cancer
Published on: June 13, 2019
Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach
Md Facihul Azam1,2, Aliyu Musa1,2, Matthias Dehmer3,4,5
1Predictive Society and Data Analysis Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Abstract:
Prostate cancer is the most common cancer type in men in Finland and second worldwide. In this paper, we analyze almost 150, 000 published papers about prostate cancer, authored by ten thousands of scientists worldwide, with an integrated text mining and computational network theory approach. We demonstrate how to integrate text mining with network analysis investigating research contributions of countries and collaborations within and between countries. Furthermore, we study the time evolution of individually and collectively studied genes. Finally, we investigate a collaboration network of Finland and compare studied genes with globally studied genes in prostate cancer genetics. Overall, our results provide a global overview of prostate cancer research in genetics. In addition, we present a specific discussion for Finland. Our results shed light on trends within the last 30 years and are useful for translational researchers within the full range from genetics to public health management and health policy.
Related Concept Videos
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Self-Discrepancy Theory
Chromosomal Theory of Inheritance
Valence Bond Theory
Band Theory
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...
Attribution Theory

