Progress on network modeling and analysis of gut microecology: a review

M Luo, J Zhu, J Jia, H Zhang, J Zhao - Applied and Environmental …, 2024 - Am Soc Microbiol
The gut microecological network is a complex microbial community within the human body
that plays a key role in linking dietary nutrition and host physiology. To understand the …

Spatial Cellular Networks from omics data with SpaCeNet

S Schrod, N Lück, R Lohmayer, S Solbrig… - Genome …, 2024 - genome.cshlp.org
Advances in omics technologies have allowed spatially resolved molecular profiling of
single cells, providing a window not only into the diversity and distribution of cell types within …

GRAND: a database of gene regulatory network models across human conditions

M Ben Guebila, CM Lopes-Ramos… - Nucleic Acids …, 2022 - academic.oup.com
Gene regulation plays a fundamental role in shaping tissue identity, function, and response
to perturbation. Regulatory processes are controlled by complex networks of interacting …

The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks

M Ben Guebila, T Wang, CM Lopes-Ramos, V Fanfani… - Genome Biology, 2023 - Springer
Inference and analysis of gene regulatory networks (GRNs) require software that integrates
multi-omic data from various sources. The Network Zoo (netZoo; netzoo. github. io) is a …

Methods for multi-omic data integration in cancer research

E Hernández-Lemus, S Ochoa - Frontiers in Genetics, 2024 - frontiersin.org
Multi-omics data integration is a term that refers to the process of combining and analyzing
data from different omic experimental sources, such as genomics, transcriptomics …

Bayesian inference of sample-specific coexpression networks

E Saha, V Fanfani, P Mandros, MB Guebila… - Genome …, 2024 - genome.cshlp.org
Gene regulatory networks (GRNs) are effective tools for inferring complex interactions
between molecules that regulate biological processes and hence can provide insights into …

Gaussian graphical models with applications to omics analyses

KH Shutta, R De Vito, DM Scholtens… - Statistics in …, 2022 - Wiley Online Library
Gaussian graphical models (GGMs) provide a framework for modeling conditional
dependencies in multivariate data. In this tutorial, we provide an overview of GGM theory …

Functional impact of multi-omic interactions in breast cancer subtypes

S Ochoa, E Hernández-Lemus - Frontiers in Genetics, 2023 - frontiersin.org
Multi-omic approaches are expected to deliver a broader molecular view of cancer.
However, the promised mechanistic explanations have not quite settled yet. Here, we …

Higher-order correction of persistent batch effects in correlation networks

S Micheletti, D Schlauch, J Quackenbush… - …, 2024 - academic.oup.com
Motivation Systems biology analyses often use correlations in gene expression profiles to
infer co-expression networks that are then used as input for gene regulatory network …

PhenoMultiOmics: an enzymatic reaction inferred multi-omics network visualization web server

Y Shi, B Xu, Z Wang, Q Chen, J Chai, C Wang - Bioinformatics, 2024 - academic.oup.com
Motivation Enzymatic reaction play a pivotal role in regulating cellular processes with a high
degree of specificity to biological functions. When enzymatic reactions are disrupted by …