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6 in total

1. In vitro transcription amplification and labeling methods contribute to the variability of gene expression profiling with DNA microarrays.

Authors: Changqing Ma; Maureen Lyons-Weiler; Wenjing Liang; William LaFramboise; John R Gilbertson; Michael J Becich; Federico A Monzon
Journal: J Mol Diagn Date: 2006-05 Impact factor: 5.568

Review 2. Validation and quality control of protein microarray-based analytical methods.

Authors: Larry J Kricka; Stephen R Master
Journal: Mol Biotechnol Date: 2007-08-03 Impact factor: 2.695

3. Why is there a lack of consensus on molecular subgroups of glioblastoma? Understanding the nature of biological and statistical variability in glioblastoma expression data.

Authors: Nicholas F Marko; John Quackenbush; Robert J Weil
Journal: PLoS One Date: 2011-07-28 Impact factor: 3.240

4. Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by cDNA microarrays.

Authors: Xujing Wang; Shuang Jia; Lisa Meyer; Bixia Xiang; Li-Yen Chen; Nan Jiang; Carol Moreno; Howard J Jacob; Soumitra Ghosh; Martin J Hessner
Journal: BMC Bioinformatics Date: 2006-08-14 Impact factor: 3.169

5. A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics tools.

Authors: Zengjun Xu; Tucker A Patterson; Jonathan D Wren; Tao Han; Leming Shi; Helen Duhart; Syed F Ali; William Slikker
Journal: BMC Bioinformatics Date: 2005-07-15 Impact factor: 3.169

6. Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.

Authors: Leming Shi; Weida Tong; Hong Fang; Uwe Scherf; Jing Han; Raj K Puri; Felix W Frueh; Federico M Goodsaid; Lei Guo; Zhenqiang Su; Tao Han; James C Fuscoe; Z Alex Xu; Tucker A Patterson; Huixiao Hong; Qian Xie; Roger G Perkins; James J Chen; Daniel A Casciano
Journal: BMC Bioinformatics Date: 2005-07-15 Impact factor: 3.169

6 in total