Results 31 to 40 of about 2,692,793 (237)
Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis [PDF]
, 2011 Background: Analysing gene expression data from microarray technologies is a very important task in biology and medicine, and particularly in cancer diagnosis.
Vasile Palade, Zhenyu Wang
core +4 more sources
Paradigm of tunable clustering using binarization of consensus partition matrices (Bi-CoPaM) for gene discovery [PDF]
, 2013 Copyright @ 2013 Abu-Jamous et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and ...
A Strehl +39 more
core +11 more sources
Chromosomal microarrays testing in children with developmental disabilities and congenital anomalies
Jornal de Pediatria (Versão em Português), 2015 Objectives: Clinical use of microarray‐based techniques for the analysis of many developmental disorders has emerged during the last decade. Thus, chromosomal microarray has been positioned as a first‐tier test. This study reports the first experience in
Guillermo Lay‐Son +5 more
doaj +3 more sources
Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
Biosensors, 2018 An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can ...
Zhiyou Wang +2 more
doaj +1 more source
Techniques for clustering gene expression data [PDF]
, 2007 Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Crane, Martin +3 more
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BMC Bioinformatics, 2008 Background Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large data sets.
Aitman T +15 more
doaj +1 more source
Differential Gene Expression of Human Mast cell Activation Reveals Gene profiles of Innate and Adaptive Immunity. [PDF]
, 2007 High-density oligonucleotide microarray is a promising approach for high throughput analysis. It has been extensively used in many areas of biomedical research.
Alirio Jose Melendez +3 more
core +2 more sources
OncoTarget, 2015 Purpose To evaluate the clinical utility, diagnostic yield and rationale of integrating microarray analysis in the clinical diagnosis of hematological malignancies in comparison with classical chromosome karyotyping/fluorescence in situ hybridization ...
Jess F. Peterson +7 more
semanticscholar +1 more source
Can Zipf's law be adapted to normalize microarrays? [PDF]
, 2005 BACKGROUND: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed ...
Costello, Christine M +5 more
core +3 more sources
Integrative analysis of large-scale biological data sets [PDF]
, 2011 We present two novel web-applications for microarray and gene/protein set analysis, ArrayMining.net and TopoGSA. These bioinformatics tools use integrative analysis methods, including ensemble and consensus machine learning techniques, as well as modular
Enrico Glaab +2 more
core +2 more sources