Results 1 to 10 of about 3,155,505 (387)
Frontiers in Molecular Biosciences, 2014 The diversity of the installed sequencing and microarray equipment make it increasingly difficult to compare and analyze the gene expression datasets obtained using the different methods.
Anton A. Buzdin +17 more
doaj +1 more source
Microarray sub-grid detection: A novel algorithm [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Taylor & Francis LtdA novel algorithm for detecting microarray subgrids is proposed. The only input to the algorithm is the
Antoniol G. +8 more
core +1 more source
Mfuzz: A software package for soft clustering of microarray data
Bioinformation, 2007 For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster.
Lokesh Kumar, Matthias E. Futschik
semanticscholar +1 more source
Examining the uses of shared data [PDF]
, 2007 Background Many initiatives and repositories exist to encourage the sharing of research data, and thousands of microarray gene expression datasets are publicly available.
Douglas Fridsma +2 more
core +3 more sources
Microarray Analysis of Equine Endometrium at Days 8 and 12 of Pregnancy1
Biology of Reproduction, 2010 Establishment and maintenance of pregnancy in equids is only partially understood. To provide new insights into early events of this process, we performed a systematic analysis of transcriptome changes in the endometrium at Days 8 and 12 of pregnancy ...
M. Merkl +7 more
semanticscholar +1 more source
RNA sequencing and microarray analysis are helpful techniques to detect obesity-related lncRNAs. LncRNA can alter cholesterol metabolism and can be a target for gene therapy [PDF]
, 2021 Moataz Dowaidar
+5 more sources
EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data
BMC Bioinformatics, 2009 Background Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes.
Mertens Dominik +16 more
doaj +1 more source
Genomic and proteomic profiling for cancer diagnosis in dogs [PDF]
, 2016 Global gene expression, whereby tumours are classified according to similar gene expression patterns or ‘signatures’ regardless of cell morphology or tissue characteristics, is being increasingly used in both the human and veterinary fields to assist in ...
Morris, Joanna S.
core +1 more source
Stability of Ranked Gene Lists in Large Microarray Analysis Studies
Journal of Biomedicine and Biotechnology, 2010 This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets.
G. Štiglic, P. Kokol
semanticscholar +1 more source
A multi-view approach to cDNA micro-array analysis [PDF]
, 2010 The official published version can be obtained from the link below.Microarray has emerged as a powerful technology that enables biologists to study thousands of genes simultaneously, therefore, to obtain a better understanding of the gene interaction and
Du, M +5 more
core +1 more source