[HTML][HTML] Clustering approaches to identifying gene expression patterns from DNA microarray data
JH Do, DK Choi - Molecules and cells, 2008 - Elsevier
The analysis of microarray data is essential for large amounts of gene expression data. In
this review we focus on clustering techniques. The biological rationale for this approach is …
this review we focus on clustering techniques. The biological rationale for this approach is …
Clustering methods for microarray gene expression data
N Belacel, Q Wang, M Cuperlovic-Culf - Omics: a journal of …, 2006 - liebertpub.com
Within the field of genomics, microarray technologies have become a powerful technique for
simultaneously monitoring the expression patterns of thousands of genes under different …
simultaneously monitoring the expression patterns of thousands of genes under different …
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
AG De Brevern, S Hazout, A Malpertuy - BMC bioinformatics, 2004 - Springer
Background Microarray technologies produced large amount of data. The hierarchical
clustering is commonly used to identify clusters of co-expressed genes. However, microarray …
clustering is commonly used to identify clusters of co-expressed genes. However, microarray …
Binning sequences using very sparse labels within a metagenome
Background In metagenomic studies, a process called binning is necessary to assign
contigs that belong to multiple species to their respective phylogenetic groups. Most of the …
contigs that belong to multiple species to their respective phylogenetic groups. Most of the …
Knowledge management, data mining, and text mining in medical informatics
Chapter Overview In this chapter we provide a broad overview of selected knowledge
management, data mining, and text mining techniques and their use in various emerging …
management, data mining, and text mining techniques and their use in various emerging …
Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting
E Toth - Hydrology and Earth System Sciences, 2009 - hess.copernicus.org
This paper presents the application of a modular approach for real-time streamflow
forecasting that uses different system-theoretic rainfall-runoff models according to the …
forecasting that uses different system-theoretic rainfall-runoff models according to the …
Microstructure classification in the unsupervised context
Traditional microstructure classification requires human annotations provided by a subject
matter expert. The requirement of human input is both costly and subjective and cannot keep …
matter expert. The requirement of human input is both costly and subjective and cannot keep …
[HTML][HTML] Using growing self-organising maps to improve the binning process in environmental whole-genome shotgun sequencing
Metagenomic projects using whole-genome shotgun (WGS) sequencing produces many
unassembled DNA sequences and small contigs. The step of clustering these sequences …
unassembled DNA sequences and small contigs. The step of clustering these sequences …
Signatures of malaria-associated pathology revealed by high-resolution whole-blood transcriptomics in a rodent model of malaria
J Lin, J Sodenkamp, D Cunningham, K Deroost… - Scientific Reports, 2017 - nature.com
The influence of parasite genetic factors on immune responses and development of severe
pathology of malaria is largely unknown. In this study, we performed genome-wide …
pathology of malaria is largely unknown. In this study, we performed genome-wide …
[HTML][HTML] Whole-genome transcriptional profiles of a novel marine fish iridovirus, Singapore grouper iridovirus (SGIV) in virus-infected grouper spleen cell cultures and …
A DNA microarray containing all Singapore grouper iridovirus (SGIV) open reading frames
(ORFs) was constructed to map the viral gene transcriptional profiles in virus-infected …
(ORFs) was constructed to map the viral gene transcriptional profiles in virus-infected …