Literature DB >> 15211746

Objective method of comparing DNA microarray image analysis systems.

Edward L Korn1, Jens K Habermann, Madhvi B Upender, Thomas Ried, Lisa M McShane.   

Abstract

Many image analysis systems are available for processing the images produced by laser scanning of DNA microarrays. The image processing system takes pixel-level intensity data and converts it to a set of gene-level expression or copy number summaries that will be used in further analyses. Image analysis systems currently in use differ with regard to the specific algorithms they implement, ease of use, and cost. Thus, it would be desirable to have an objective means of comparing systems. Here we describe a systematic method of comparing image processing results produced by different image analysis systems using a series of replicate microarray experiments. We demonstrate the method with a comparison of cDNA microarray data generated by the UCSF Spot and the GenePix image processing systems.

Mesh:

Year:  2004        PMID: 15211746     DOI: 10.2144/04366BI01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  11 in total

1.  Microarray analysis at single-molecule resolution.

Authors:  Leila Mureşan; Jarosław Jacak; Erich Peter Klement; Jan Hesse; Gerhard J Schütz
Journal:  IEEE Trans Nanobioscience       Date:  2010-01-29       Impact factor: 2.935

2.  Quality controls in cellular immunotherapies: rapid assessment of clinical grade dendritic cells by gene expression profiling.

Authors:  Luciano Castiello; Marianna Sabatino; Yingdong Zhao; Barbara Tumaini; Jiaqiang Ren; Jin Ping; Ena Wang; Lauren V Wood; Francesco M Marincola; Raj K Puri; David F Stroncek
Journal:  Mol Ther       Date:  2012-11-13       Impact factor: 11.454

3.  A glance at DNA microarray technology and applications.

Authors:  Amir Ata Saei; Yadollah Omidi
Journal:  Bioimpacts       Date:  2011-08-04

4.  Aneuploidy-associated gene expression signatures characterize malignant transformation in ulcerative colitis.

Authors:  Marco Gerling; Kari Nousiainen; Sampsa Hautaniemi; Stefan Krüger; Britta Fritzsche; Nils Homann; Hans-Peter Bruch; Gert Auer; Uwe J Roblick; Thomas Ried; Jens K Habermann
Journal:  Inflamm Bowel Dis       Date:  2013 Mar-Apr       Impact factor: 5.325

5.  Evaluation of normalization methods for two-channel microRNA microarrays.

Authors:  Yingdong Zhao; Ena Wang; Hui Liu; Melissa Rotunno; Jill Koshiol; Francesco M Marincola; Maria Teresa Landi; Lisa M McShane
Journal:  J Transl Med       Date:  2010-07-21       Impact factor: 5.531

6.  Chromosome transfer induced aneuploidy results in complex dysregulation of the cellular transcriptome in immortalized and cancer cells.

Authors:  Madhvi B Upender; Jens K Habermann; Lisa M McShane; Edward L Korn; J Carl Barrett; Michael J Difilippantonio; Thomas Ried
Journal:  Cancer Res       Date:  2004-10-01       Impact factor: 12.701

7.  The gene expression signature of genomic instability in breast cancer is an independent predictor of clinical outcome.

Authors:  Jens K Habermann; Jana Doering; Sampsa Hautaniemi; Uwe J Roblick; Nana K Bündgen; Daniel Nicorici; Ulrike Kronenwett; Shruti Rathnagiriswaran; Rama K R Mettu; Yan Ma; Stefan Krüger; Hans-Peter Bruch; Gert Auer; Nancy L Guo; Thomas Ried
Journal:  Int J Cancer       Date:  2009-04-01       Impact factor: 7.396

Review 8.  Oligonucleotide microarray technology and its application to Mycobacterium avium subsp. paratuberculosis research: a review.

Authors:  Radka Pribylova; Petr Kralik; Ivo Pavlik
Journal:  Mol Biotechnol       Date:  2009-01-06       Impact factor: 2.695

9.  TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository.

Authors:  Yingdong Zhao; Ming-Chung Li; Mariam M Konaté; Li Chen; Biswajit Das; Chris Karlovich; P Mickey Williams; Yvonne A Evrard; James H Doroshow; Lisa M McShane
Journal:  J Transl Med       Date:  2021-06-22       Impact factor: 5.531

Review 10.  Gene expression profiles of HIV-1-infected glia and brain: toward better understanding of the role of astrocytes in HIV-1-associated neurocognitive disorders.

Authors:  Alejandra Borjabad; Andrew I Brooks; David J Volsky
Journal:  J Neuroimmune Pharmacol       Date:  2009-08-21       Impact factor: 7.285

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