Analysis of microarray data using Z score transformation.

By C. Cheadle, M. Vawter, W. Freed, K. Becker. Journal of Molecular Diagnostics, 2003

1,089 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/131b69299bca0e92ed37db82fda604e7a01c5aeb

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In Genetics

1. Maria Alice Pinto
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1. M. Gorospe
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Citations in the corpus

• Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics (2017, background): “The first group covers target gene expression profiles of the patients in the disease section of the disease-relevant drug targeted tissue, the second group covers the profiles of the patients in the normal section of the tissue adjacent to the disease section and the third group covers the profiles”
• Standard methods for molecular research in Apis mellifera (2013, background): “The power of the technology lies in the massive multiplexing potential where the relative and absolute amounts of hundreds of different targets can be determined simultaneously (Cheadle et al., 2003; Gentry et al., 2006).”
• Resveratrol delays age-related deterioration and mimics transcriptional aspects of dietary restriction without extending lifespan (2008, positive): “Raw data were subjected to Z normalization as described previously (Cheadle et al., 2003) and are available at http://www.ncbi.nlm.nih.gov/geo.”
• Long Noncoding RNA MALAT1 Controls Cell Cycle Progression by Regulating the Expression of Oncogenic Transcription Factor B-MYB (2013, methodology): “The Z-ratio was calculated as the difference between the observed gene Z-ratios for the experimental and the control comparisons, divided by the standard deviation associated with the distribution of these differences [101].”
• The Mitochondrial-derived peptide MOTS-c promotes metabolic homeostasis and reduces obesity and insulin resistance (2015, neutral): “Raw data were subjected to Z normalization, as previously described (Cheadle et al., 2003).”
• Fasting Cycles Retard Growth of Tumors and Sensitize a Range of Cancer Cell Types to Chemotherapy (2012, methodology): “Raw data were subjected to Z normalization as described (30).”