[HTML][HTML] Network-based approaches for modeling disease regulation and progression
Molecular interaction networks lay the foundation for studying how biological functions are
controlled by the complex interplay of genes and proteins. Investigating perturbed processes …
controlled by the complex interplay of genes and proteins. Investigating perturbed processes …
The use of machine learning to discover regulatory networks controlling biological systems
R Erbe, J Gore, K Gemmill, DA Gaykalova, EJ Fertig - Molecular cell, 2022 - cell.com
Biological systems are composed of a vast web of multiscale molecular interactors and
interactions. High-throughput technologies, both bulk and single cell, now allow for …
interactions. High-throughput technologies, both bulk and single cell, now allow for …
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 …
Current and future directions in network biology
Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …
sciences, is critical for deepening understanding of cellular functioning and disease. While …
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 …
Connections for matters of the heart: network medicine in cardiovascular diseases
AR Sonawane, E Aikawa, M Aikawa - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in
millions of people worldwide. Like other fields, CVD research has benefitted from the deluge …
millions of people worldwide. Like other fields, CVD research has benefitted from the deluge …
Single-sample network modeling on omics data
Modeling networks for single samples can facilitate discoveries in biology that go beyond
those found when analyzing an “aggregate” network, ie, one that merges information across …
those found when analyzing an “aggregate” network, ie, one that merges information across …
[HTML][HTML] Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)
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 …
Molecular Modelling Hurdle in the Next-Generation Sequencing Era
G Fernandez, D Yubero, F Palau… - International Journal of …, 2022 - mdpi.com
There are challenges in the genetic diagnosis of rare diseases, and pursuing an optimal
strategy to identify the cause of the disease is one of the main objectives of any clinical …
strategy to identify the cause of the disease is one of the main objectives of any clinical …
[PDF][PDF] Biologically informed matrix factorization for joint inference of gene regulatory networks and transcription factor activities
S Micheletti - 2023 - soelmicheletti.github.io
Since the initial sequencing of the human genome in 2001, the field of systems biology has
strived to understand gene regulatory mechanisms, in particular the role of transcription …
strived to understand gene regulatory mechanisms, in particular the role of transcription …