Differential network analysis: A statistical perspective
Sign Up to like & getrecommendations! Published in 2020 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1508
Abstract: Networks effectively capture interactions among components of complex systems, and have thus become a mainstay in many scientific disciplines. Growing evidence, especially from biology, suggest that networks undergo changes over time, and in response to… read more here.
Keywords: statistical perspective; medicine; analysis statistical; network analysis ... See more keywords
Interaction-based transcriptome analysis via differential network inference
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac466
Abstract: Abstract Gene-based transcriptome analysis, such as differential expression analysis, can identify the key factors causing disease production, cell differentiation and other biological processes. However, this is not enough because basic life activities are mainly driven… read more here.
Keywords: network; differential network; network inference; interaction based ... See more keywords
Differential network analysis of multiple human tissue interactomes highlights tissue-selective processes and genetic disorder genes
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa034
Abstract: MOTIVATION Differential network analysis, designed to highlight network changes between conditions, is an important paradigm in network biology. However, differential network analysis methods have been typically designed to compare between two conditions, and were rarely… read more here.
Keywords: network; differential network; tissue; tissue selective ... See more keywords
Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab751
Abstract: MOTIVATION Differential network inference is a fundamental and challenging problem to reveal gene interactions and regulation relationships under different conditions. Many algorithms have been developed for this problem; however, they do not consider the differences… read more here.
Keywords: network inference; importance penalized; differential network;
Incorporating prior information into differential network analysis using non‐paranormal graphical models
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx208
Abstract: Motivation: Understanding how gene regulatory networks change under different cellular states is important for revealing insights into network dynamics. Gaussian graphical models, which assume that the data follow a joint normal distribution, have been used… read more here.
Keywords: information; differential networks; differential network; prior information ... See more keywords
Differential Network Analysis via Weighted Fused Conditional Gaussian Graphical Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2924418
Abstract: The development and prognosis of complex diseases usually involves changes in regulatory relationships among biomolecules. Understanding how the regulatory relationships change with genetic alterations can help to reveal the underlying biological mechanisms for complex diseases.… read more here.
Keywords: differential network; conditional gaussian; weighted fused; model ... See more keywords
Brain connectivity alteration detection via matrix-variate differential network model.
Sign Up to like & getrecommendations! Published in 2020 at "Biometrics"
DOI: 10.1111/biom.13359
Abstract: Brain functional connectivity reveals the synchronization of brain systems through correlations in neurophysiological measures of brain activities. Growing evidence now suggests that the brain connectivity network experiences alterations with the presence of numerous neurological disorders,… read more here.
Keywords: connectivity; matrix; differential network; brain ... See more keywords
DiNAR: revealing hidden patterns of plant signalling dynamics using Differential Network Analysis in R
Sign Up to like & getrecommendations! Published in 2018 at "Plant Methods"
DOI: 10.1186/s13007-018-0345-0
Abstract: BackgroundProgress in high-throughput molecular methods accompanied by more complex experimental designs demands novel data visualisation solutions. To specifically answer the question which parts of the specifical biological system are responding in particular perturbation, integrative approach… read more here.
Keywords: network; dinar; differential network; signalling dynamics ... See more keywords
An exploratory study of CT radiomics using differential network feature selection for WHO/ISUP grading and progression-free survival prediction of clear cell renal cell carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.979613
Abstract: Objectives To explore the feasibility of predicting the World Health Organization/International Society of Urological Pathology (WHO/ISUP) grade and progression-free survival (PFS) of clear cell renal cell cancer (ccRCC) using the radiomics features (RFs) based on… read more here.
Keywords: isup; cell; differential network; model ... See more keywords
Differential Network Testing Reveals Diverging Dynamics of Organ System Interactions for Survivors and Non-survivors in Intensive Care Medicine
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2021.801622
Abstract: Statistical network analyses have become popular in many scientific disciplines, where an important task is to test for differences between two networks. We describe an overall framework for differential network testing procedures that vary regarding… read more here.
Keywords: intensive care; network; non survivors; differential network ... See more keywords
Open Data for Differential Network Analysis in Glioma
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms21020547
Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming… read more here.
Keywords: analysis; open data; differential network; cancer ... See more keywords