Systematic variation in gene expression patterns in human cancer cell lines

By D. Ross, U. Scherf, Michael B. Eisen, Charles M. Perou, Christian A. Rees, P. Spellman, V. Iyer, S. Jeffrey, M. Rijn, M. Waltham and 8 more. Nature Genetics, 2000

2,229 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a6245dcdf8f41c3413493dc3dbbf158c6d81ed70

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Citations in the corpus

Improving molecular cancer class discovery through sparse non-negative matrix factorization (2005, positive): “…have been proposed for molecular cancer classification using gene expression data (Alon et al., 1999; Golub et al., 1999; Alizadeh et al., 2000; Ben-Dor et al., 2000; Bittner et al., 2000; Ross et al., 2000; Slonim et al., 2000; Pomeroy et al., 2002; Nguyen and Rocke, 2002; Brunet et al., 2004).”
Coexpression analysis of human genes across many microarray data sets. (2004, neutral): “…et al. 2001) 102 3751 129814 (Chaussabel et al. 2003) 28 8243 80559 (Ross and Perou 2001) 24 12437 3409 (Chen et al. 2002) 207 9169 597313 (Ross et al. 2000) 68 5837 45468 (Cheok et al. 2003) 120 8243 258731 (Shipp et al. 2002) 77 5418 87486 (Dhanasekaran et al. 2001) 53 5613 161097…”
ISMARA: automated modeling of genomic signals as a democracy of regulatory motifs (2014, methodology): “2004) and the NCI-60 reference cancer cell lines (Ross et al. 2000) (full results at http://ismara.”
Tumor classification by partial least squares using microarray gene expression data (2002, methodology): “The problem of ‘prediction’ may come in various forms of applications as well; the prediction of patient survival duration with germinal center B-like DLBCL compared to those with activated B-like DLBCL using Kaplan–Meier survival curves (Ross et al., 2000).”
An extensive comparison of recent classification tools applied to microarray data (2004, methodology): “While many authors have proposed the classiÿcation methods based on global gene expression analysis (Golub et al., 1999; Alizadeh et al., 2000; Ross et al., 2000), no systematic comparison of statistical methods with diierent pre-processing strategies is available yet for ÿnding the most…”
MicroRNAs: key players in the immune system, differentiation, tumorigenesis and cell death (2008, methodology): “In a previous study, the NCI60 cells had been subjected to a gene chip analysis (Ross et al., 2000), revealing that the cell lines genetically fell into two major superclusters (SCs).”
Revisiting Global Gene Expression Analysis (2012, neutral): “…2010; Bhattacharjee et al., 2001; Bittner et al., 2000; Golub et al., 1999; Lapointe et al., 2004; Northcott et al., 2012; Ramaswamy et al., 2001; Ross et al., 2000; Schmitz et al., 2012; Shipp et al., 2002; Su et al., 2001; Cancer Genome Atlas, 2012; van ’t Veer et al., 2002; van de Vijver et…”
Nanotechnology applications in cancer. (2007, background): “Gene expression studies of cell lines further revealed that the molecular signature of each tumor is a result of the combined tumoral, stromal, and inflammatory factors of the original heterogeneous tumor (27).”
Triple Negative Breast Cancer Cell Lines: One Tool in the Search for Better Treatment of Triple Negative Breast Cancer (2010, background): “found that MDA-MB-435 clustered with melanoma cell lines and not with other breast cancer cell lines [25].”