Comparative analyses of gene co-expression networks: Implementations and applications in the study of evolution

K Ovens, BF Eames, I McQuillan - Frontiers in Genetics, 2021 - frontiersin.org
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 …

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 …

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 …

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 …

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach

S Harun, N Afiqah-Aleng, MB Karim, MAU Amin… - PeerJ, 2021 - peerj.com
Background Glucosinolates (GSLs) are plant secondary metabolites that contain nitrogen-
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

M Altaf-Ul-Amin, MB Karim, P Hu, N Ono… - BMC Medical …, 2020 - Springer
Background Multidimensional data mining from an integrated environment of different data
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

V Vengatharajuloo, HH Goh, M Hassan, N Govender… - Insects, 2023 - mdpi.com
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 …

Biclustering a dataset using photonic quantum computing

A Borle, A Bhave - Frontiers in Computer Science, 2024 - frontiersin.org
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 …

DPClusSBO: An integrated software for clustering of simple and bipartite graphs

MB Karim, S Kanaya, M Altaf-Ul-Amin - SoftwareX, 2021 - Elsevier
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 …

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 …