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Single nucleotide polymorphism microarrays in the analysis of cancer

Subjects: “…Microarray Analysis.…”
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Cancer systems biology dissection and analysis of context-specific molecular interaction networks /

Table of Contents: “…Contents: The evolution of systems biology -- Dissecting molecular interaction networks -- Algorithm for the Reverse-Engineering of Accurate Cellular Networks (ARACNe) -- Computing the mutual information -- Application to the MYC proto-oncogene -- Can ARACNe be applied to signaling networks -- Experimental data -- Dataset composition -- Discrete data handling -- EGFR network -- Modulator Inference by Network Dynamics (MINDy) -- Multivariate dependency model -- Conditional interactions -- STK38 -- Top MYC modulators -- Signalome transfactome network -- Biochemical validation -- Bayesian evidence integration algorithm (BEIA) -- Interactome validation -- Interactome-Dysregulation Enrichment Analysis (IDEA) -- The "barcode" of cancer -- Master regulator analysis (MRA) -- The germinal center -- Shadowing and synergy.…”
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Cancer systems biology dissection and analysis of context-specific molecular interaction networks /

Table of Contents: “…Contents: The evolution of systems biology -- Dissecting molecular interaction networks -- Algorithm for the Reverse-Engineering of Accurate Cellular Networks (ARACNe) -- Computing the mutual information -- Application to the MYC proto-oncogene -- Can ARACNe be applied to signaling networks -- Experimental data -- Dataset composition -- Discrete data handling -- EGFR network -- Modulator Inference by Network Dynamics (MINDy) -- Multivariate dependency model -- Conditional interactions -- STK38 -- Top MYC modulators -- Signalome transfactome network -- Biochemical validation -- Bayesian evidence integration algorithm (BEIA) -- Interactome validation -- Interactome-Dysregulation Enrichment Analysis (IDEA) -- The "barcode" of cancer -- Master regulator analysis (MRA) -- The germinal center -- Shadowing and synergy.…”
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Cancer systems biology dissection and analysis of context-specific molecular interaction networks /

Table of Contents: “…Contents: The evolution of systems biology -- Dissecting molecular interaction networks -- Algorithm for the Reverse-Engineering of Accurate Cellular Networks (ARACNe) -- Computing the mutual information -- Application to the MYC proto-oncogene -- Can ARACNe be applied to signaling networks -- Experimental data -- Dataset composition -- Discrete data handling -- EGFR network -- Modulator Inference by Network Dynamics (MINDy) -- Multivariate dependency model -- Conditional interactions -- STK38 -- Top MYC modulators -- Signalome transfactome network -- Biochemical validation -- Bayesian evidence integration algorithm (BEIA) -- Interactome validation -- Interactome-Dysregulation Enrichment Analysis (IDEA) -- The "barcode" of cancer -- Master regulator analysis (MRA) -- The germinal center -- Shadowing and synergy.…”
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An introduction to genetic association analysis

Table of Contents: “…Contents: What is genetic association -- Testing for genetic association -- Quantitative trait analysis -- Covariates -- Family-based tests -- Multi-SNP models.…”
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An introduction to genetic association analysis

Table of Contents: “…Contents: What is genetic association -- Testing for genetic association -- Quantitative trait analysis -- Covariates -- Family-based tests -- Multi-SNP models.…”
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An introduction to genetic association analysis

Table of Contents: “…Contents: What is genetic association -- Testing for genetic association -- Quantitative trait analysis -- Covariates -- Family-based tests -- Multi-SNP models.…”
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Protein networks and analysis of global gene expression

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Cross-genomic analysis of human disease genes

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Single nucleotide polymorphism microarrays in the analysis of cancer

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Protein networks and analysis of global gene expression

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Cross-genomic analysis of human disease genes

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Protein networks and analysis of global gene expression

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Cross-genomic analysis of human disease genes

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Single nucleotide polymorphism microarrays in the analysis of cancer

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Quantitative genetics and multifactorial inheritance

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Genome-wide profiling of microRNAs from scientist benchside to patient bedside /

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The genetic analysis of meiosis in drosophila melanogaster females

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Genome scale analysis of cellular processes using RNAi

Table of Contents: “…Contents: Functional analysis in Drosophila -- RNAi -- Genetic screens by RNAi -- RNAi libraries -- Cell-based assays -- Screen analysis -- Systematic analysis of high-throughput data -- Normalization and hit identification -- Challenges in quantitative image analysis -- Issues and insights from screen results -- Applications for RNAi screens -- Assay for cell fitness -- Assay for cell morphology -- Shared defects and shared pathways -- Outlook for RNAi screens.…”
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The genetic analysis of meiosis in drosophila melanogaster females

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