Progress on network modeling and analysis of gut microecology: a review
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 …
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 …
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 …
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
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 …
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 …
data from different omic experimental sources, such as genomics, transcriptomics …
Bayesian inference of sample-specific coexpression networks
Gene regulatory networks (GRNs) are effective tools for inferring complex interactions
between molecules that regulate biological processes and hence can provide insights into …
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 …
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 …
However, the promised mechanistic explanations have not quite settled yet. Here, we …
Higher-order correction of persistent batch effects in correlation networks
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 …
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 …
degree of specificity to biological functions. When enzymatic reactions are disrupted by …