DOMINO: a network‐based active module identification algorithm with reduced rate of false calls
Algorithms for active module identification (AMI) are central to analysis of omics data. Such
algorithms receive a gene network and nodes' activity scores as input and report …
algorithms receive a gene network and nodes' activity scores as input and report …
[HTML][HTML] Measuring intratumor heterogeneity by network entropy using RNA-seq data
Intratumor heterogeneity (ITH) is observed at different stages of tumor progression,
metastasis and reouccurence, which can be important for clinical applications. We used …
metastasis and reouccurence, which can be important for clinical applications. We used …
[HTML][HTML] Novel miRNA-mRNA interactions conserved in essential cancer pathways
Cancer is a complex disease in which unrestrained cell proliferation results in tumour
development. Extensive research into the molecular mechanisms underlying tumorigenesis …
development. Extensive research into the molecular mechanisms underlying tumorigenesis …
[HTML][HTML] Transcriptional network analysis reveals drought resistance mechanisms of AP2/ERF transgenic rice
This study was designed to investigate at the molecular level how a transgenic version of
rice “Nipponbare” obtained a drought-resistant phenotype. Using multi-omics sequencing …
rice “Nipponbare” obtained a drought-resistant phenotype. Using multi-omics sequencing …
[HTML][HTML] Proteomic analysis of Huntington's disease medium spiny neurons identifies alterations in lipid droplets
KT Tshilenge, CG Aguirre, J Bons, AA Gerencser… - Molecular & Cellular …, 2023 - ASBMB
Huntington's disease (HD) is a neurodegenerative disease caused by a CAG repeat
expansion in the Huntingtin (HTT) gene. The resulting polyglutamine (polyQ) tract alters the …
expansion in the Huntingtin (HTT) gene. The resulting polyglutamine (polyQ) tract alters the …
Why do pathway methods work better than they should?
B Szalai, J Saez‐Rodriguez - FEBS letters, 2020 - Wiley Online Library
Pathway analysis methods are frequently applied to cancer gene expression data to identify
dysregulated pathways. These methods often infer pathway activity based on the expression …
dysregulated pathways. These methods often infer pathway activity based on the expression …
Classifying tumors by supervised network propagation
Motivation Network propagation has been widely used to aggregate and amplify the effects
of tumor mutations using knowledge of molecular interaction networks. However …
of tumor mutations using knowledge of molecular interaction networks. However …
[HTML][HTML] Measuring rank robustness in scored protein interaction networks
Background Protein interaction databases often provide confidence scores for each
recorded interaction based on the available experimental evidence. Protein interaction …
recorded interaction based on the available experimental evidence. Protein interaction …
[HTML][HTML] Drug screening and biomarker gene investigation in cancer therapy through the human transcriptional regulatory network
Z He, K Gao, L Dong, L Liu, X Qu, Z Zou, Y Wu… - Computational and …, 2023 - Elsevier
A complex and vast biological network regulates all biological functions in the human body
in a sophisticated manner, and abnormalities in this network can lead to disease and even …
in a sophisticated manner, and abnormalities in this network can lead to disease and even …
[HTML][HTML] Network analysis of comorbid depression, suicidality and biomarkers on HPA axis among mood disorder patients to psychiatric emergency services
YF Wang, G You, T Han, Y Liu, J Li, X Ji… - Translational psychiatry, 2023 - nature.com
Rapid assessment and intervention of suicide risk are common and challenging in
psychiatric emergency departments (PED). It is unclear whether distinct pathophysiological …
psychiatric emergency departments (PED). It is unclear whether distinct pathophysiological …