A Practical Guide to Cancer Systems Biology

November 8, 2017 17:31 A Practical Guide to Cancer Systems Biology 9.61in x 6.69in b3038-index page 145

Index

acute lymphoblastic leukemia (ALL), 95

Akaike information criterion (AIC), 109

ALL1–AF4 rearrangement, 95

Autodock Vina, 136

bioinformatics, 1

biological modeling, 103

biological networks, 103

biomarker, 4

computer-aided drug discovery, 113

Cytoscape, 64

Database for Annotation, Visualization

and Integrated Discovery (DAVID),

63

differential equation, 104

differentially expressed (DE) genes, 95

dimethyl labeling, 40

discrete dynamic models, 104

docking simulation, 129

drug discovery, 4

DrugBank, 135

dynamic modeling, 4

DynaPho, 76

EnrichmentMap, 63

function enrichment analysis, 80

functional enrichment analysis, 63

galaxy, 50

gel-assisted digestion and gel extraction,

25

gene expression, 92

gene ontology, 63

Gene Set Enrichment Analysis (GSEA),

63

gene–gene correlation networks, 99

genome, 2

homology modeling, 114

hydroxyl acid-modified metal oxide

chromatography (HAMMOC), 40

hypergeometric test, 97

I-tasser, 114

Illumina, 12

isobaric tags for relative and absolute

quantitation (iTRAQ), 25

isotope-based methods, 25

isotope-coded affinity tag (ICAT), 25

iTRAQ, 65

kinase activity profile, 84

kinase/phosphatase–substrate association,

87

Kyoto Encyclopedia of Genes and

Genomes (KEGG) pathways, 97

mass spectrometry, 63

mathematical models, 103

maximum likelihood, 107

metabolic pathways, 63

metabolome, 4

ModBase, 114

model selection, 109

ModEval, 114

ModWeb, 114

molecular mechanism, 5

motif enrichment analysis, 80

nanoLC-MS/MS, 40

network biology, 4

next-generation sequencing (NGS), 11, 49

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