ALT conceived of the experiment, conducted GC and microarray studies, analyzed the data, and wrote the paper.
JBS carried out the microarray studies, analyzed the data and drafted the manuscript; YS contributed to the data analysis and the preparation of the manuscript; EB contributed to the experimental design, data analysis and the final preparation of the manuscript.
JRA (Jagannadha R Avasarala) designed, conceptualized the study format and wrote the manuscript; SVC (Sridar V Chittur) did the microarray studies, analyzed the data and authored the materials and methods section; JAT (John A Tine) did quantitative RT-PCR while ADG (Ajish D George) performed the transcription factor network analysis.
In this paper, we present a new meta-analysis technique for combining DNA microarray studies by analyzing two independent microarray studies comparing the gene expression of CAN and normal allograft.
To demonstrate the value of those new resources for functional analysis of omics data for the genus Aspergillus, we performed two case studies analyzing microarray data recently published for A. nidulans, A. niger and A. oryzae.
Previous microarray studies have analyzed gene expression patterns [12], [18], [19] yielding evidence of substantial differences among sarcoma subtypes.
Gene expression from 15 of the 90 axon growth promoting proteins identified in the microarray studies were analyzed using qPCR methods.
Seven cancer microarray studies are analyzed.
Through microarray studies, we analyzed the gene expression profile of renal tubular epithelial cells, stimulated with interferon-alpha.
To determine the OCIAD2 expression, different available microarray studies were analyzed by the Oncomine database and GEO gene microarray data analysis tools.
