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» Evaluation of clustering algorithms for gene expression data
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BIOSYSTEMS
2008
75views more  BIOSYSTEMS 2008»
15 years 6 months ago
Using matrix of thresholding partial correlation coefficients to infer regulatory network
DNA arrays measure the expression levels for thousands of genes simultaneously under different conditions. These measurements reflect many aspects of the underlying biological pro...
Lide Han, Jun Zhu
BMCBI
2006
125views more  BMCBI 2006»
15 years 6 months ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...
CSB
2004
IEEE
131views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Improved Fourier Transform Method for Unsupervised Cell-Cycle Regulated Gene Prediction
Motivation: Cell-cycle regulated gene prediction using microarray time-course measurements of the mRNA expression levels of genes has been used by several researchers. The popular...
Karuturi R. Krishna Murthy, Liu Jian Hua
ECML
2005
Springer
15 years 8 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
NIPS
2003
15 years 7 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile