Comparative analyses of gene co-expression networks: Implementations and applications in the study of evolution
Similarities and differences in the associations of biological entities among species can
provide us with a better understanding of evolutionary relationships. Often the evolution of …
provide us with a better understanding of evolutionary relationships. Often the evolution of …
Soil volatile organic compounds: source-sink, function, mechanism, detection, and application analysis in environmental ecology
F Li, W Gao, Y Lin, J Liu, Y Su, Y Zhang… - TrAC Trends in Analytical …, 2024 - Elsevier
Soil is a huge reservoir and source of volatile organic compounds (VOCs), which act as
significant signaling molecules essential for interactions in the subsurface ecological …
significant signaling molecules essential for interactions in the subsurface ecological …
Automating methods for estimating metabolite volatility
LK Meredith, SM Ledford, K Riemer, P Geffre… - Frontiers in …, 2023 - frontiersin.org
The volatility of metabolites can influence their biological roles and inform optimal methods
for their detection. Yet, volatility information is not readily available for the large number of …
for their detection. Yet, volatility information is not readily available for the large number of …
Bioinformatics prediction for network-based integrative multi-omics expression data analysis in hirschsprung disease
H Lucena-Padros, N Bravo-Gil, C Tous, E Rojano… - Biomolecules, 2024 - mdpi.com
Hirschsprung's disease (HSCR) is a rare developmental disorder in which enteric ganglia
are missing along a portion of the intestine. HSCR has a complex inheritance, with RET as …
are missing along a portion of the intestine. HSCR has a complex inheritance, with RET as …
Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach
Background Glucosinolates (GSLs) are plant secondary metabolites that contain nitrogen-
containing compounds. They are important in the plant defense system and known to …
containing compounds. They are important in the plant defense system and known to …
Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach
Background Multidimensional data mining from an integrated environment of different data
sources is frequently performed in computational system biology. The molecular mechanism …
sources is frequently performed in computational system biology. The molecular mechanism …
Gene Co-Expression Network Analysis Reveals Key Regulatory Genes in Metisa plana Hormone Pathways
Simple Summary The increasingly growing demand for palm oil (PO) blankets heavy
pressure for sustainable PO production. PO, the world's most efficient oilseed crop, is being …
pressure for sustainable PO production. PO, the world's most efficient oilseed crop, is being …
Biclustering a dataset using photonic quantum computing
Biclustering is a problem in machine learning and data mining that seeks to group together
rows and columns of a dataset according to certain criteria. In this work, we highlight the …
rows and columns of a dataset according to certain criteria. In this work, we highlight the …
DPClusSBO: An integrated software for clustering of simple and bipartite graphs
Network analysis particularly graph clustering has become a useful and important technique
in data mining applications. It provides a global view of data structure where densely …
in data mining applications. It provides a global view of data structure where densely …
Shifting Pattern Biclustering and Boolean Reasoning Symmetry
M Michalak, JS Aguilar-Ruiz - Symmetry, 2023 - mdpi.com
There are several goals of the two-dimensional data analysis: one may be interested in
searching for groups of similar objects (clustering), another one may be focused on …
searching for groups of similar objects (clustering), another one may be focused on …