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Molecular biology / Gene expression profiling / Gene / Cell cycle / Bioinformatics / Spectrogram / Gene chip analysis / Immunomics / Biology / Microarrays / Gene expression


Detecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Method Xiangchao Gan1, Alan Wee-Chung Liew2 and Hong Yan1,3 1 Department of Electronic Engineering City University of Hong Kong, 83 Tat
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Document Date: 2010-10-27 04:28:58


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City

Shatin / Kowloon / /

Company

Authorized / /

Currency

USD / /

Facility

Electronic Engineering City University of Hong Kong / Engineering The Chinese University of Hong Kong / Information Engineering University of Sydney / GRIFFITH UNIVERSITY / /

IndustryTerm

energy spectrogram / average time-frequency energy spectrogram / graphical device / average timefrequency energy spectrogram / average time-frequency energy spectrograms / binary time-frequency energy spectrogram / graphical exploratory device / regularization-based image processing method / graphical tool / typical binary time-frequency energy spectrogram / regularization-based image processing methods / time-frequency energy spectrogram / /

Organization

Chinese University of Hong Kong / Department of Computer Science / School of Electrical / University of Sydney / GRIFFITH UNIVERSITY / City University of Hong Kong / /

Person

Alan Wee-Chung / /

Product

pseudo / /

PublishedMedium

Nucleic Acids Research / /

Technology

alpha / Bioinformatics / proposed algorithm / DNA Chip / hybridization / gene expression / image processing / /

URL

http /

SocialTag