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Gene Function Analysis

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Cover of 'Gene Function Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 The Present State and Future Direction of Integrated Gene Function Analysis
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    Chapter 2 Performing Integrative Functional Genomics Analysis in GeneWeaver.org
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    Chapter 3 Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies.
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    Chapter 4 Integrative Data-Mining Tools to Link Gene and Function
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    Chapter 5 Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome–Interactome Integration
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    Chapter 6 Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization.
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    Chapter 7 Statistical Tools and R Software for Cancer Driver Probabilities
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    Chapter 8 Predicting the functional consequences of somatic missense mutations found in tumors.
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    Chapter 9 Determining the effect of DNA methylation on gene expression in cancer cells.
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    Chapter 10 Reverse Engineering Transcriptional Gene Networks
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    Chapter 11 Integrating in silico resources to map a signaling network.
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    Chapter 12 A method for inducible gene over-expression and down-regulation in emerging model species using pogostick.
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    Chapter 13 Construction and application of site-specific artificial nucleases for targeted gene editing.
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    Chapter 14 Selection of Recombinant Antibodies from Antibody Gene Libraries
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    Chapter 15 Construction of Simple and Efficient siRNA Validation Systems for Screening and Identification of Effective RNAi-Targeted Sequences from Mammalian Genes
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    Chapter 16 Rapid Genetic Modification of Mouse Embryonic Stem Cells by Inducible Cassette Exchange Recombination
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    Chapter 17 In Ovo Electroporation of miRNA-Based-Plasmids to Investigate Gene Function in the Developing Neural Tube
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    Chapter 18 Proteomic Strategies: SILAC and 2D-DIGE—Powerful Tool to Investigate Cellular Alterations
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    Chapter 19 Conditional gene-trap mutagenesis in zebrafish.
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Title
Gene Function Analysis
Published by
Humana Press, November 2013
DOI 10.1007/978-1-62703-721-1
ISBNs
978-1-62703-720-4, 978-1-62703-721-1
Editors

Ochs, Michael F.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 2%
Student > Ph. D. Student 1 1%
Researcher 1 1%
Student > Bachelor 1 1%
Unknown 87 95%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 3%
Agricultural and Biological Sciences 1 1%
Neuroscience 1 1%
Unknown 87 95%