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» Analyzing time series gene expression data
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BMCBI
2010
129views more  BMCBI 2010»
13 years 9 months ago
Geoseq: a tool for dissecting deep-sequencing datasets
Background: Datasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO), Sequence Read Archive (SR...
James Gurtowski, Anthony Cancio, Hardik Shah, Chay...
WWW
2007
ACM
14 years 9 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
AMC
2005
191views more  AMC 2005»
13 years 8 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
ICCV
2011
IEEE
12 years 8 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
CIKM
2006
Springer
14 years 15 days ago
The visual funding navigator: analysis of the NSF funding information
This paper presents an interactive visualization toolkit for navigating and analyzing the National Science Foundation (NSF) funding information. Our design builds upon an improved...
Shixia Liu, Nan Cao, Hao Lv, Hui Su