Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles
J Tang, T Aittokallio - Current pharmaceutical design, 2014 - ingentaconnect.com
Polypharmacology has emerged as novel means in drug discovery for improving treatment
response in clinical use. However, to really capitalize on the polypharmacological effects of …
response in clinical use. However, to really capitalize on the polypharmacological effects of …
Type2 soft biclustering framework for Alzheimer microarray
Microarray technology is a powerful tool that enables simultaneous analysis of the
expression level of a large number of genes for different samples. Reliable information on …
expression level of a large number of genes for different samples. Reliable information on …
Bi-phase evolutionary searching for biclusters in gene expression data
The analysis of gene expression data is useful for detecting the biological information of
genes. Biclustering of microarray data has been proposed as a powerful computational tool …
genes. Biclustering of microarray data has been proposed as a powerful computational tool …
Type2 soft biclustering framework for Alzheimer microarray
Z Moattar Husseini, MH Fazel Zarandi, A Ahmadi - 2024 - dl.acm.org
Microarray technology is a powerful tool that enables simultaneous analysis of the
expression level of a large number of genes for different samples. Reliable information on …
expression level of a large number of genes for different samples. Reliable information on …
Bi-Phase evolutionary biclustering algorithm with the NSGA-II algorithm
The gene expression data analysis is significant in investigating the fundamental biological
phenomena. Biclustering algorithm is one of the powerful tools to discover the consistent …
phenomena. Biclustering algorithm is one of the powerful tools to discover the consistent …
MSR-based algorithms for biclustering of microarray gene expression data.
R Balamurugan, SP Raja - Current Science (00113891), 2022 - search.ebscohost.com
Biclustering plays a vital role in the analysis of gene expression data. The biclustering
technique was proposed in the year 2000. For the past two decades, several biclustering …
technique was proposed in the year 2000. For the past two decades, several biclustering …
[PDF][PDF] Clustering techniques for biological sequence analysis: A review
In the present scenario there are a variety of technical tools for supporting and validating wet-
lab experiments in the field of science and biotechnology. In order to analyze biological …
lab experiments in the field of science and biotechnology. In order to analyze biological …
InCoB2012 Conference: from biological data to knowledge to technological breakthroughs
Ten years ago when Asia-Pacific Bioinformatics Network held the first International
Conference on Bioinformatics (InCoB) in Bangkok its theme was North-South Networking. At …
Conference on Bioinformatics (InCoB) in Bangkok its theme was North-South Networking. At …
[PDF][PDF] Bicluster Coherency Measures for Gene Expression Data.
Many studies have been proposed to analyze gene expression microarray data,
emphasizing on the identification of genes that show related functions over only subsets of …
emphasizing on the identification of genes that show related functions over only subsets of …
On evolutionary algorithms for biclustering of gene expression data
A Carballido Jessica, A Gallo Cristian… - Current …, 2015 - ingentaconnect.com
Past decades have seen the rapid development of microarray technologies making
available large amounts of gene expression data. Hence, it has become increasingly …
available large amounts of gene expression data. Hence, it has become increasingly …