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JCB
2006
185views more  JCB 2006»
14 years 11 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
112
Voted
INFOCOM
2011
IEEE
14 years 2 months ago
Sensor localization with deterministic accuracy guarantee
—Localizability of network or node is an important subproblem in sensor localization. While rigidity theory plays an important role in identifying several localizability conditio...
Ryo Sugihara, Rajesh K. Gupta
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
15 years 4 months ago
Discriminative Discovery of Transcription Factor Binding Sites from Location Data
Motivation: The availability of genome-wide location analyses based on chromatin immunoprecipitation (ChIP) data gives a new insight for in silico analysis of transcriptional regu...
Yuji Kawada, Yasubumi Sakakibara
81
Voted
PPOPP
2005
ACM
15 years 4 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
TIP
2008
107views more  TIP 2008»
14 years 10 months ago
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficien...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega