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Microarray

Known as: Micro array, Microarray technology, Array 
A microarray is a multiplex lab-on-a-chip. It is a 2D array on a solid substrate (usually a glass slide or silicon thin-film cell) that assays large… 
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Related topics

Related topics

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Affymetrix GeneChip Operating SoftwareAlignment-free sequence analysisAminoallyl nucleotideAntibody microarray

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Hybrid feature selection by combining filters and wrappers
Highly Cited
2010
Highly Cited
2010
Breast cancer knowledge among women with learning disabilities and their experiences of breast mammography
As the life expectancy of people with learning disabilities rises, so too do cancer prevalence rates in people with learning… 
Highly Cited
2009
Highly Cited
2009
Batch Effects and Noise in Microarray Experiments: Sources and Solutions
List of Contributors. Foreword. Preface. 1 Variation, Variability, Batches and Bias in Microarray Experiments: An Introduction… 
Highly Cited
2008
Highly Cited
2008
Estimating time-varying networks
An evacuated and hermetically sealed bellows assembly has a bellows core assembly for mechanical movement versus pressure… 
Review
2006
Review
2006
Chickpea molecular breeding: New tools and concepts
SummaryChickpea is a cool season grain legume of exceptionally high nutritive value and most versatile food use. It is mostly… 
Highly Cited
2005
Highly Cited
2005
Gene expression A web-based tool for principal component and significance analysis of microarray data
Summary: We have developed a program for microarray data analysis, which features the false discovery rate for testing… 
Highly Cited
2004
Highly Cited
2004
Controlling the number of false discoveries: application to high-dimensional genomic data
Highly Cited
2003
Highly Cited
2003
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied… 
Highly Cited
2003
Highly Cited
2003
Feature selection for support vector machines by means of genetic algorithm
The problem of feature selection is a difficult combinatorial task in machine learning and of high practical relevance, e.g. in… 
Highly Cited
2002
Highly Cited
2002
Protein microarray characterization of autoantibody responses in rheumatoid arthritis and systemic lupus erythematosus
In rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and other autoimmune rheumatic diseases, our understanding of… 
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