Biclustering data analysis: a comprehensive survey

EN Castanho, H Aidos, SC Madeira - Briefings in Bioinformatics, 2024 - academic.oup.com
Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

Network-based analysis of OMICs data to understand the HIV–host interaction

S Ivanov, A Lagunin, D Filimonov… - Frontiers in …, 2020 - frontiersin.org
The interaction of human immunodeficiency virus with human cells is responsible for all
stages of the viral life cycle, from the infection of CD4+ cells to reverse transcription …

From communities to protein complexes: a local community detection algorithm on PPI networks

S Dilmaghani, MR Brust, CHC Ribeiro, E Kieffer… - Plos one, 2022 - journals.plos.org
Identifying protein complexes in protein-protein interaction (ppi) networks is often handled
as a community detection problem, with algorithms generally relying exclusively on the …

Maximum biplex search over bipartite graphs

W Luo, K Li, X Zhou, Y Gao, K Li - 2022 IEEE 38th International …, 2022 - ieeexplore.ieee.org
As a typical most-to-most connected quasi-biclique model, k-biplex is a superset of
bicliques, which allows nodes on each side of a fully connected subgraph to lose at most k …

BicNET: flexible module discovery in large-scale biological networks using biclustering

R Henriques, SC Madeira - Algorithms for Molecular Biology, 2016 - Springer
Background Despite the recognized importance of module discovery in biological networks
to enhance our understanding of complex biological systems, existing methods generally …

Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes

A Bhar, M Haubrock, A Mukhopadhyay… - BMC bioinformatics, 2015 - Springer
Background Exploratory analysis of multi-dimensional high-throughput datasets, such as
microarray gene expression time series, may be instrumental in understanding the genetic …

Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation

S Dirmeier, C Dächert, M van Hemert… - PLoS computational …, 2020 - journals.plos.org
Genetic perturbation screens using RNA interference (RNAi) have been conducted
successfully to identify host factors that are essential for the life cycle of bacteria or viruses …

A review of in silico approaches for analysis and prediction of HIV-1-human protein–protein interactions

S Bandyopadhyay, S Ray… - Briefings in …, 2015 - academic.oup.com
The computational or in silico approaches for analysing the HIV-1-human protein–protein
interaction (PPI) network, predicting different host cellular factors and PPIs and discovering …

Accelerating maximum biplex search over large bipartite graphs

D Pan, X Zhou, W Luo, Z Yang, Q Liu, Y Gao, K Li - The VLDB Journal, 2025 - Springer
As a typical most-to-most connected quasi-biclique model, k-biplex allows nodes on each
side of a fully connected subgraph to lose at most k connections. In this paper, we …

Compact Genetic Algorithm-Based Feature Selection for Sequence-Based Prediction of Dengue–Human Protein Interactions

L Dey, A Mukhopadhyay - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Dengue Virus (DENV) infection is one of the rapidly spreading mosquito-borne viral
infections in humans. Every year, around 50 million people get affected by DENV infection …