Biophotonic Tools in Cell and Tissue Diagnostics. [PDF]
, 2007 In order to maintain the rapid advance of biophotonics in the U.S. and enhance our competitiveness worldwide, key measurement tools must be in place. As part of a wide-reaching effort to improve the U.S.
Brownstein, Michael +8 more
core +2 more sources
A comparison on effects of normalisations in the detection of differentially expressed genes
BMC Bioinformatics, 2009 Background Various normalisation techniques have been developed in the context of microarray analysis to try to correct expression measurements for experimental bias and random fluctuations.
Risso Davide +3 more
doaj +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
Digital detection of exosomes by interferometric imaging [PDF]
, 2016 Exosomes, which are membranous nanovesicles, are actively released by cells and have been attributed to roles in cell-cell communication, cancer metastasis, and early disease diagnostics.
Benussi, Luisa +13 more
core +2 more sources
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
A Comparative Study of Techniques for Differential Expression Analysis on RNA-Seq Data
bioRxiv, 2014 Recent advances in next-generation sequencing technology allow high-throughput cDNA sequencing (RNA-Seq) to be widely applied in transcriptomic studies, in particular for detecting differentially expressed genes between groups.
Zong-Hong Zhang +10 more
semanticscholar +1 more source
Differential gene expression graphs: A data structure for classification in DNA microarrays [PDF]
, 2008 This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and ...
Benso, Alfredo +3 more
core +1 more source
Tellipsoid: Exploiting inter-gene correlation for improved detection of differential gene expression [PDF]
, 2008 Motivation: Algorithms for differential analysis of microarray data are vital to modern biomedical research. Their accuracy strongly depends on effective treatment of inter-gene correlation.
Deller, Jr., J. R. +2 more
core
Comparability of Microarray Data between Amplified and Non Amplified RNA in Colorectal Carcinoma [PDF]
, 2009 Microarray analysis reaches increasing popularity during the investigation of prognostic gene clusters in oncology. The standardisation of technical procedures will be essential to compare various datasets produced by different research groups.
Brueckl, WM +10 more
core +4 more sources
MmPalateMiRNA, an R package compendium illustrating analysis of miRNA microarray data
Source Code for Biology and Medicine, 2013 BackgroundMicroRNAs (miRNAs) constitute the largest family of noncoding RNAs involved in gene silencing and represent critical regulators of cell and tissue differentiation.
G. Brock +6 more
semanticscholar +1 more source