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BMCBI
2010
190views more  BMCBI 2010»
11 years 9 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
BMCBI
2007
123views more  BMCBI 2007»
11 years 9 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
BMCBI
2010
161views more  BMCBI 2010»
11 years 9 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...
BMCBI
2010
122views more  BMCBI 2010»
11 years 9 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
BMCBI
2008
121views more  BMCBI 2008»
11 years 9 months ago
GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...
Andreas Keller, Christina Backes, Maher Al-Awadhi,...
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