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9 in total

1. Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.

Authors: Koji Kadota; Kentaro Shimizu
Journal: BMC Bioinformatics Date: 2011-06-06 Impact factor: 3.169

2. Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues.

Authors: Maurizio Callari; Matteo Dugo; Valeria Musella; Edoardo Marchesi; Giovanna Chiorino; Maurizia Mello Grand; Marco Alessandro Pierotti; Maria Grazia Daidone; Silvana Canevari; Loris De Cecco
Journal: PLoS One Date: 2012-09-13 Impact factor: 3.240

3. Gene Expression Profiling via Multigene Concatemers.

Authors: Kai Jin; Xiaoli Zheng; Yuxian Xia
Journal: PLoS One Date: 2011-01-18 Impact factor: 3.240

4. Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data.

Authors: James J Chen; Huey-Miin Hsueh; Robert R Delongchamp; Chien-Ju Lin; Chen-An Tsai
Journal: BMC Bioinformatics Date: 2007-10-25 Impact factor: 3.169

5. A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

Authors: Herman M J Sontrop; Perry D Moerland; René van den Ham; Marcel J T Reinders; Wim F J Verhaegh
Journal: BMC Bioinformatics Date: 2009-11-26 Impact factor: 3.169

6. Comparing Imputation Procedures for Affymetrix Gene Expression Datasets Using MAQC Datasets.

Authors: Sreevidya Sadananda Sadasiva Rao; Lori A Shepherd; Andrew E Bruno; Song Liu; Jeffrey C Miecznikowski
Journal: Adv Bioinformatics Date: 2013-10-09

7. Evaluation of high throughput gene expression platforms using a genomic biomarker signature for prediction of skin sensitization.

Authors: Andy Forreryd; Henrik Johansson; Ann-Sofie Albrekt; Malin Lindstedt
Journal: BMC Genomics Date: 2014-05-16 Impact factor: 3.969

8. Microfluidic droplet-based PCR instrumentation for high-throughput gene expression profiling and biomarker discovery.

Authors: Christopher J Hayes; Tara M Dalton
Journal: Biomol Detect Quantif Date: 2015-06-06

9. Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.

Authors: Wenli Li; Amy Turner; Praful Aggarwal; Andrea Matter; Erin Storvick; Donna K Arnett; Ulrich Broeckel
Journal: BMC Genomics Date: 2015-12-16 Impact factor: 3.969

9 in total