Chemosensitivity prediction by transcriptional profiling

By J. Staunton, Donna K. Slonim, Hilary A. Coller, Pablo Tamayo, Michael Angelo, Johnny Park, U. Scherf, Jae K. Lee, William O. Reinhold, John N. Weinstein and 3 more. Proceedings of the National Academy of Sciences of the United States of America, 2001

677 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cbec521f5646aebb21064edef6ab6261e15456d8

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Citations in the corpus

Iterative signature algorithm for the analysis of large-scale gene expression data. (2002, neutral): “However, while standard tools, like clustering algorithms [7, 8, 9, 10, 11, 12, 13, 14] (see [15, 16] for reviews) and Singular Value Decomposition (SVD) [17,18], provide interesting results when applied to relatively small data sets, typically containing tens of experimental conditions and at most ”
Coexpression analysis of human genes across many microarray data sets. (2004, neutral): “75 12057 824563 (Staunton et al. 2001) 11 8257 4760 (Garber et al. 2001) 73 9171 258866 (Su et al. 2002) 12 8257 128303 (Golub et al. 1999) 72 5418 52283 (Tezak et al. 2002) 24 12057 12944 (Greenberg et al. 2002) 12 8243 5280 (Unpublished, GSE443) 60 5418 51286 (Gruvberger et al. 2001) 58 2756…”
Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets (2008, background): “It has been applied in order to understand underlying biological mechanisms [2], to discover novel subgroups of diseases [3–5], to examine drug response [6,7], to classify patients into disease groups [3], and to predict disease outcomes [8–10].”
Reliability and reproducibility issues in DNA microarray measurements. (2006, methodology): “Until recently there were only two such data that were widely available: the NCI60 cell-line panel profiled using cDNA microarray [34] and the Affymetrix platform [ 35 ].”
Sparse canonical methods for biological data integration: application to a cross-platform study (2009, methodology): “0 Dimension 1 D im en si on 2 V00594_at Z24727_at M23254_at M19267_s_at Z18951_atX53416_at X64177_f_at D42073_at D29963_at V00 94_s_at X86809_at D00017_at X07979_at M333 8_at X05610 t L25081_at U08021_at U89942_at M31013_at U62015_at U51010_s_at S79639_at U22376_cds2_s_at J03764_at M26576_cds2_at M3”
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications (2007, background): “The second test-bed contains six microarray datasets: 9-tumors [29], Brain-tumor2 [30], Leukemia-1 [2], prostate-tumors [31], DLBCL [32] and SRBCT [33].”