Pathway network analysis of complex diseases based on multiple biological networks

F Zheng, L Wei, L Zhao, FC Ni - BioMed Research International, 2018 - Wiley Online Library
Biological pathways play important roles in the development of complex diseases, such as
cancers, which are multifactorial complex diseases that are usually caused by multiple …

A network-based pathway-expanding approach for pathway analysis

Q Zhang, J Li, H Xie, H Xue, Y Wang - BMC bioinformatics, 2016 - Springer
Background Pathway analysis combining multiple types of high-throughput data, such as
genomics and proteomics, has become the first choice to gain insights into the pathogenesis …

Identifying dysregulated pathways in cancers from pathway interaction networks

KQ Liu, ZP Liu, JK Hao, L Chen, XM Zhao - BMC bioinformatics, 2012 - Springer
Background Cancers, a group of multifactorial complex diseases, are generally caused by
mutation of multiple genes or dysregulation of pathways. Identifying biomarkers that can …

Topology-based cancer classification and related pathway mining using microarray data

CC Liu, WSE Chen, CC Lin, HC Liu… - Nucleic acids …, 2006 - academic.oup.com
Cancer classification is the critical basis for patient-tailored therapy, while pathway analysis
is a promising method to discover the underlying molecular mechanisms related to cancer …

Integrated genomic and network-based analyses of complex diseases and human disease network

O Al-Harazi, S Al Insaif, MA Al-Ajlan, N Kaya… - Journal of Genetics and …, 2016 - Elsevier
A disease phenotype generally reflects various pathobiological processes that interact in a
complex network. The highly interconnected nature of the human protein interaction network …

An exploratory application of multilayer networks and pathway analysis in pharmacogenomics

M Milano, G Agapito, M Cannataro - Genes, 2023 - mdpi.com
Over the years, network analysis has become a promising strategy for analysing complex
system, ie, systems composed of a large number of interacting elements. In particular …

Inference on chains of disease progression based on disease networks

D Lee, M Kim, H Shin - Plos one, 2019 - journals.plos.org
Motivation Disease progression originates from the concept that an individual disease may
go through different changes as it evolves, and such changes can cause new diseases. It is …

DeepHisCoM: deep learning pathway analysis using hierarchical structural component models

C Park, B Kim, T Park - Briefings in Bioinformatics, 2022 - academic.oup.com
Many statistical methods for pathway analysis have been used to identify pathways
associated with the disease along with biological factors such as genes and proteins …

A novel pathway network analytics method based on graph theory

S Saha, A Soliman, S Rajasekaran - Journal of Computational …, 2021 - liebertpub.com
A biological pathway is an ordered set of interactions between intracellular molecules
having collective activity that impacts cellular function, for example, by controlling metabolite …

[HTML][HTML] Consideration of statistical vs. biological significances for omics data-based pathway network analysis

X Zhan, Y Long, X Zhan, Y Mu - Med One, 2017 - hapres.com
In the era of biological omics, an essential issue is how to mine the important biological
information, including important signaling molecule patterns, signaling pathways, molecular …