Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer

Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer

Background: Knowledge discovery in databases (KDD) can contribute to translational research, also known as translational medicine, by bridging the gap between <i>in vitro</i> and <i>in vivo</i> studies, and clinical applications. Here, we propose a ‘systems modeling’ workflow...

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Bibliographic Details
Main Authors: Mathilde Resell, Elisabeth Pimpisa Graarud, Hanne-Line Rabben, Animesh Sharma, Lars Hagen, Linh Hoang, Nan T. Skogaker, Anne Aarvik, Magnus K. Svensson, Manoj Amrutkar, Caroline S. Verbeke, Surinder K. Batra, Gunnar Qvigstad, Timothy C. Wang, Anil Rustgi, Duan Chen, Chun-Mei Zhao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Proteomes
Subjects:
proteomics
bioinformatics
signaling pathways
networks
research models
Online Access:https://www.mdpi.com/2227-7382/13/2/20
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