[HTML][HTML] Enriching human interactome with functional mutations to detect high-impact network modules underlying complex diseases

H Cui, S Srinivasan, D Korkin - Genes, 2019 - mdpi.com
Rapid progress in high-throughput-omics technologies moves us one step closer to the
datacalypse in life sciences. In spite of the already generated volumes of data, our …

[HTML][HTML] Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations

D Xiong, Y Qiu, J Zhao, Y Zhou, D Lee, S Gupta… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Human genome sequencing studies have identified numerous loci associated with complex
diseases. However, translating human genetic and genomic findings to disease …

[HTML][HTML] Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery

P Paci, G Fiscon, F Conte, RS Wang, L Farina… - NPJ systems biology …, 2021 - nature.com
In this study, we integrate the outcomes of co-expression network analysis with the human
interactome network to predict novel putative disease genes and modules. We first apply the …

dmGWAS: dense module searching for genome-wide association studies in protein–protein interaction networks

P Jia, S Zheng, J Long, W Zheng, Z Zhao - Bioinformatics, 2011 - academic.oup.com
Motivation: An important question that has emerged from the recent success of genome-
wide association studies (GWAS) is how to detect genetic signals beyond single …

Uncovering disease-disease relationships through the incomplete interactome

J Menche, A Sharma, M Kitsak, SD Ghiassian, M Vidal… - Science, 2015 - science.org
INTRODUCTION A disease is rarely a straightforward consequence of an abnormality in a
single gene, but rather reflects the interplay of multiple molecular processes. The …

Differential network analysis of human tissue interactomes highlights tissue-selective processes and genetic disorder genes

O Basha, CM Argov, R Artzy, Y Zoabi, I Hekselman… - bioRxiv, 2019 - biorxiv.org
Motivation Differential network analysis, designed to highlight interaction changes between
conditions, is an important paradigm in network biology. However, network analysis …

[HTML][HTML] Pathway analyses and understanding disease associations

Y Liu, MR Chance - Current genetic medicine reports, 2013 - Springer
High throughput technologies have been applied to investigate the underlying mechanisms
of complex diseases, identify disease associations, and help to improve treatment. However …

[HTML][HTML] Community of protein complexes impacts disease association

Q Wang, W Liu, S Ning, J Ye, T Huang, Y Li… - European journal of …, 2012 - nature.com
One important challenge in the post-genomic era is uncovering the relationships among
distinct pathophenotypes by using molecular signatures. Given the complex functional …

Open community challenge reveals molecular network modules with key roles in diseases

S Choobdar, ME Ahsen, J Crawford, M Tomasoni… - bioRxiv, 2018 - biorxiv.org
Identification of modules in molecular networks is at the core of many current analysis
methods in biomedical research. However, how well different approaches identify disease …

Differential network analysis of multiple human tissue interactomes highlights tissue-selective processes and genetic disorder genes

O Basha, CM Argov, R Artzy, Y Zoabi… - …, 2020 - academic.oup.com
Motivation Differential network analysis, designed to highlight network changes between
conditions, is an important paradigm in network biology. However, differential network …