[HTML][HTML] Network biology: Recent advances and challenges
P Wang - Gene & Protein in Disease, 2022 - accscience.com
Biological networks have garnered widespread attention. The development of biological
networks has spawned the birth of a new interdisciplinary field–network biology. Network …
networks has spawned the birth of a new interdisciplinary field–network biology. Network …
Prediction of condition-specific regulatory genes using machine learning
Recent advances in genomic technologies have generated data on large-scale protein–
DNA interactions and open chromatin regions for many eukaryotic species. How to identify …
DNA interactions and open chromatin regions for many eukaryotic species. How to identify …
Developmental gene regulatory network connections predicted by machine learning from gene expression data alone
J Zhang, F Ibrahim, E Najmulski, G Katholos… - Plos one, 2021 - journals.plos.org
Gene regulatory network (GRN) inference can now take advantage of powerful machine
learning algorithms to complement traditional experimental methods in building gene …
learning algorithms to complement traditional experimental methods in building gene …
Prediction of condition-specific regulatory maps in Arabidopsis using integrated genomic data
Recent advances in genomic technologies have generated large-scale protein-DNA
interaction data and open chromatic regions for multiple plant species. To predict condition …
interaction data and open chromatic regions for multiple plant species. To predict condition …
Develo** machine learning tools to understand transcriptional regulation in plants
Q Song - 2019 - vtechworks.lib.vt.edu
Abiotic stresses constitute a major category of stresses that negatively impact plant growth
and development. It is important to understand how plants cope with environmental stresses …
and development. It is important to understand how plants cope with environmental stresses …
Stability in GRN inference
Reconstructing a gene regulatory network from one or more sets of omics measurements
has been a major task of computational biology in the last 20 years. Despite an …
has been a major task of computational biology in the last 20 years. Despite an …
PEAK Predicts Gene Regulatory Network Linkages during Sea Urchin Development with High Sensitivity from Gene Expression Data Alone
Background Gene regulatory network (GRN) inference can now take advantage of powerful
machine learning algorithms to predict the entire landscape of gene-to-gene interactions …
machine learning algorithms to predict the entire landscape of gene-to-gene interactions …
DeTangle: A Framework for Interactive Prediction and Visualization of Gene Regulatory Networks
DAAM Altarawy - 2017 - vtechworks.lib.vt.edu
With the abundance of biological data, computational prediction of gene regulatory networks
(GRNs) from gene expression data has become more feasible. Although incorporating other …
(GRNs) from gene expression data has become more feasible. Although incorporating other …