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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 ...
Microarray gene expression profiles from mature gonad tissues of Atlantic bluefin tuna,Thunnus thynnus in the Gulf of Mexico
Microarray gene expression profiles mature gonad tissues of Atlantic bluefin tuna Thunnus thynnus Gulf of Mexico
2015/11/16
Background: Bluefin tunas are highly prized pelagic fish species representing a significant economic resource to fisheries throughout the world. Atlantic bluefin tuna (Thunnus thynnus) populations hav...
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...
Identification of putative targets of Nkx2-5 in Xenopus laevis using cross-species annotation and microarray gene expression analysis
Microarray analysis Molecular Biology Development
2015/5/25
The heart is the first organ to form during development in vertebrates and Nkx2-5 is the first marker of cardiac specification. In Xenopus laevis, Nkx2-5 is essential for heart formation, but early ta...
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...
A Statistical Test on Capability of SNP Microarray Detecting CNVs: A Comparison to Sequence
Statistical Test Sequence
2014/12/5
Copy number variations (CNVs) are gains and losses of DNA se-quence of a genome, which result in the abnormality of the cell or
individual. The data from single nucleotide polymorphism (SNP)
microar...
Microarray Analysis of Genes Involved with Shell Strength in Layer Shell Gland at the Early Stage of Active Calcification
Chicken Microarray Differentially Expressed Genes Eggshell Strength
2016/5/11
The objective of this study was to get a comprehensive understanding of how genes in chicken shell gland modulate eggshell strength at the early stage of active calcification. Four 32-week old of pure...
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...
Paradigm of Time-sequence Development of the Intestine of Suckling Piglets with Microarray
Intestinal Development Microarray Gene Expression Profile Network
2016/5/10
The interaction of the genes involved in intestinal development is the molecular basis of the regulatory mechanisms of intestinal development. The objective of this study was to identify the significa...
Microarray Analysis of Gene Expression in the Uterine Endometrium during the Implantation Period in Pigs
Pig Uterus Endometrium Implantation Microarray)
2016/5/10
During embryo implantation in pigs, the uterine endometrium undergoes dramatic morphological and functional changes accompanied with dynamic gene expression. Since the greatest amount of embryonic los...
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training
Statistical Methods Analyzing Tissue Microarray Images Algorithmic Scoring Co-training
2011/3/18
Recent advances in tissue microarray technology have allowed immuno-histochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and progn...
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...
Evaluation of Anti-inflammatory and Anti-allergic Effects of Food Components Using DNA Microarray Analysis
allergy bitter gourd fisetin inflammation mast cells
2010/10/25
Many people suffer from allergies, such as asthma, pollinosis and atopic dermatitis, as well as inflammatory diseases. To elucidate the anti-allergic and anti-inflammatory effects of food components, ...
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...