Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches


Bachelor Thesis, 2014

51 Pages, Grade: 165/200 (A+)


Excerpt


Contents

1. Theory
1.1 Normalization
1.2 Comparison of two groups of samples
1.3 Signal Log Ratio Algorithm
1.4 Correlation (r)
1.5 Log2-transformation
1.6 Intensity ratio
1.7 Hypothesis pair
1.8 Threshold for p-value
1.9 Fold change
1.10 Time series
1.11 Microarray preparation
1.12 Probe preparation, hybridization and imaging
1.13 Low level information analysis

2. Introduction
2.1 SIRS, Sepsis and Septic Shock
2.2 Related Background
2.3 .CEL File Description
2.4 Gene Expression Omnibus (GEO)
2.5 KEGG

3. Materials methods
3.1 Data
3.2 Data Analysis
3.3 Clustering
3.4 Enrichment tests
3.5 Lagged Correlation
3.6 Additional Information

4. RESULTS
4.1 Differentially Expressed Genes
4.2 Clustering:
4.3 Regulation of some important genes
4.3.1 HLA-DMB LCN
4.3.2 Correlation of LCN 2and LTF
4.3.3 SLC4A1 IL5RA
4.4 Gender Linked Genes:
4.5 Gene Set Enrichment Analysis (GSEA)
4.5.1 Kegg Mapper
4.5.2 Glycolysis Gluconeogenesis
4.5.3 Ribosome
4.6 Toll Like Receptors Signaling Pathway and Heatmap

5. DISCUSSION

6. REFERENCES

7. SUPPLEMENTARY

Excerpt out of 51 pages

Details

Title
Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches
Grade
165/200 (A+)
Author
Year
2014
Pages
51
Catalog Number
V284986
ISBN (eBook)
9783656858447
ISBN (Book)
9783656858454
File size
2066 KB
Language
English
Keywords
comprehensive, reanalysis, genomic, storm, transcriptomic, data, integrating, clinical, varibles, utilizing, approaches
Quote paper
Deepak Tanwar (Author), 2014, Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches, Munich, GRIN Verlag, https://www.grin.com/document/284986

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