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BMCBI
2004
132views more  BMCBI 2004»
15 years 7 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
TCBB
2011
15 years 2 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
HICSS
2008
IEEE
97views Biometrics» more  HICSS 2008»
16 years 1 months ago
Temporal and Spatial Requirements for Optimized Fault Location
With technological advancements data availability in power systems is drastically increased. Intelligent electronic devices are capable of communicating recorded data. Data can be...
Mladen Kezunovic, Maja Knezev
IDA
2006
Springer
15 years 7 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 9 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu