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Identification of Molecular Signatures from Different Vaccine Adjuvants in Chicken by Integrative Analysis of Microarray Data
Vaccine Adjuvant Chicken Reanalysis Microarray
2016/7/27
The present study compared the differential functions of two groups of adjuvants, Montanide incomplete Seppic adjuvant (ISA) series and Quil A, cholesterol, dimethyl dioctadecyl ammonium bromide, and ...
Sibios as a Framework for Biomarker Discovery Using Microarray Data
Microarray Data genomic data bioinformatics
2015/5/26
Decoding the human genome resulted in generating large amount of data that need to be analyzed and given a biological meaning. The field of Life Schiences is highly information driven. The genomic dat...
Sibios as a Framework for Biomarker Discovery Using Microarray Data
SIBIOS Microarray Data genomic data bioinformatics
2015/1/9
Decoding the human genome resulted in generating large amount of data that need to be analyzed and given a biological meaning. The field of Life Schiences is highly information driven. The genomic dat...
The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data
Diffierential expression EM algorithm hierarchical models random effects uncertainty
2012/11/23
When analyzing microarray data, hierarchical models are often used to share information across genes when estimating means and variances or identifying differential expression. Many methods utilize so...
Including transcription factor information in the superparamagnetic clustering of microarray data
Including transcription factor information superparamagnetic clustering
2011/1/5
In this work, we modify the superparamagnetic clustering algorithm (SPC) by adding an extra weight to the interaction formula that considers which genes are regulated by the same transcription factor....
Nonparametric estimation of genewise variance for microarray data
Nonparametric estimation genewise variance microarray data
2010/11/17
Estimation of genewise variance arises from two important applications in microarray data analysis: selecting significantly differentially expressed genes and validation tests for normalization of mi...
LRSA：A new computational method for analyzing time course microarray data
LRSA new computational method time course microarray data
2010/4/30
Time course data obtained from biological samples subject to specific treatments
can be very useful for revealing complex and novel biological phenomena. Although an
increasing number of time course...
Bagging multiple comparisons from microarray data
Bagging multiple comparisons microarray data
2010/4/29
Bagging multiple comparisons from microarray data。
Mathematical programming approaches for the analysis of microarray data
Mathematical programming microarray data
2009/12/24
Mathematical programming approaches for the analysis of microarray data.
Assessing the information content of short time series microarray data
the information content short time series microarray data
2009/12/24
Assessing the information content of short time series microarray data.