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Bioinformatics for Biomedical Science and Clinical Applications by K-H Liang

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List of figures and tables

Figures

2.1. A five-layer multiple scale tagging structure of chromosome 22 when r2 = 0.4. 20

2.2. The relationship between haplotypes and potential causative variants. 22

2.3. A typical Manhattan plot for a GWAS. 38

3.1. A heatmap visualization of a gene-by-subject expression data matrix. 61

3.2. A typical volcano plot of a transcriptomics study. 64

3.3. A 2-D plot by principal component analysis. 66

4.1. The breaking points result in different types of peptide fragments after collision. 94

4.2. The direct and inverse process from peptide to spectrum. 95

5.1. A schematic diagram of SBMS compared with association studies. 115

6.1. A time-course illustration of disease phenotype and biomarker quantities. 131

6.2.  ...

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