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» Classification of microarray data using gene networks
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IJBRA
2007
89views more  IJBRA 2007»
15 years 3 months ago
Conservative adjustment of permutation p-values when the number of permutations is limited
The permutation procedure is widely used to assess the significance level (p-value) of a test statistic. This approach is asymptotically consistent. In genomics and proteomics st...
Yinglei Lai
132
Voted
AI
2010
Springer
14 years 10 months ago
Annotation Concept Synthesis and Enrichment Analysis
Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression mic...
Mikhail Jiline, Stan Matwin, Marcel Turcotte
RECOMB
2003
Springer
16 years 3 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
CVPR
1999
IEEE
16 years 5 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
BMCBI
2008
145views more  BMCBI 2008»
15 years 3 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey