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BMCBI
2006
165views more  BMCBI 2006»
13 years 10 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
BMCBI
2006
124views more  BMCBI 2006»
13 years 10 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
BMCBI
2006
114views more  BMCBI 2006»
13 years 10 months ago
PROMPT: a protein mapping and comparison tool
Background: Comparison of large protein datasets has become a standard task in bioinformatics. Typically researchers wish to know whether one group of proteins is significantly en...
Thorsten Schmidt, Dmitrij Frishman
CORR
2006
Springer
137views Education» more  CORR 2006»
13 years 9 months ago
Lambda Types on the Lambda Calculus with Abbreviations
for an informal presentation at CIE 2007 [2] is a typed -calculus that pursues the reuse of the term constructions both at the level of types and at the level of contexts, while en...
F. Guidi
BMCBI
2007
149views more  BMCBI 2007»
13 years 9 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park