Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development by Jennifer A Hipp, Jason D Hipp, Megan Lim, Gaurav Sharma, Lauren B Smith, Stephen M Hewitt, Ulysses G. J. Balis

“…Background: Conventional tissue microarrays (TMAs) consist of cores of tissue inserted into a recipient paraffin block such that a tissue section on a single glass slide can contain numerous patient samples in a spatially structured pattern. …”
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Microarray data : statistical analysis using R / by 331308 Deshmukh, Shailaja R., Purohit, Sudha G.

DNA microarrays for biomedical research : methods and protocols / by Dufva, Martin

Subjects: “…DNA microarrays…”

DNA microarrays : a molecular cloning manual / by Bowtell, David, Sambrook, Joseph

Subjects: “…DNA microarrays…”

Statistical analysis of gene expression microarray data / by Speed, Terry

A practical approach to microarray data analysis / by Berrar, Daniel P., 1972-, Dubitzky, Werner, 1958-, Granzow, Martin, 1970-

Subjects: “…DNA microarrays…”

Microarray data : statistical analysis using R / by 331308 Deshmukh, Shailaja R., Purohit, Sudha G.

Feature selection of microarray data [electronic resource] / by 314670 Koo, Sheng Ping

Gene expression studies using affymetrix microarrays / by 485685 Gh̲lmann, Hinrich, Talloen, Willem

Subjects: “…DNA microarrays.…”

Application of DNA microarray technology for wastewater analysis / by Berthiaume, Frederic

Subjects:

Microarray detection and characterization of bacterial foodborne pathogens / by Lopez-Campos, Guillermo

Next generation microarray bioinformatics : methods and protocols / by Wang, Junba, Tan, Aik Choon, Tian, Tianhai

Subjects: “…DNA microarrays…”

Advanced analysis of gene expression microarray data / by Zhang, Aidong, 1961-

Subjects: “…DNA microarrays…”

Significance analysis of lexical bias in microarray data by Falkow Stanley, Kim Charles C

“…<p>Abstract</p> <p>Background</p> <p>Genes that are determined to be significantly differentially regulated in microarray analyses often appear to have functional commonalities, such as being components of the same biochemical pathway. …”
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Discovering biological progression underlying microarray samples. by Peng Qiu, Andrew J Gentles, Sylvia K Plevritis

“…We present a novel computational approach, called Sample Progression Discovery (SPD), to discover patterns of biological progression underlying microarray gene expression data. SPD assumes that individual samples of a microarray dataset are related by an unknown biological process (i.e., differentiation, development, cell cycle, disease progression), and that each sample represents one unknown point along the progression of that process. …”
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Differential splicing using whole-transcript microarrays by Robinson Mark D, Speed Terence P

“…<p>Abstract</p> <p>Background</p> <p>The latest generation of Affymetrix microarrays are designed to interrogate expression over the entire length of every locus, thus giving the opportunity to study alternative splicing genome-wide. …”
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Comparing transformation methods for DNA microarray data by Zwinderman Aeilko H, Thygesen Helene H

“…<p>Abstract</p> <p>Background</p> <p>When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed and normalized in several steps in order to improve comparability and signal/noise ratio. …”
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Microarray patches: scratching the surface of vaccine delivery by Jovin J. Y. Choo, Christopher L. D. McMillan, Paul R. Young, David A. Muller

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Computational method for reducing variance with Affymetrix microarrays by Brooks Andrew I, Welle Stephen, Thornton Charles A

“…<p>Abstract</p> <p>Background</p> <p>Affymetrix microarrays are used by many laboratories to generate gene expression profiles. …”
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Microarrays, deep sequencing and the true measure of the transcriptome by Oliver Brian, Malone John H

“…<p>Abstract</p> <p>Microarrays first made the analysis of the transcriptome possible, and have produced much important information. …”
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