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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 Gene Function Inference From Gene Expression of Deletion Mutants
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    Chapter 2 Association Analysis for Large-Scale Gene Set Data
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    Chapter 3 Estimating Gene Function With Least Squares Nonnegative Matrix Factorization
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    Chapter 4 From Promoter Analysis to Transcriptional Regulatory Network Prediction Using PAINT
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    Chapter 5 Prediction of Intrinsic Disorder and Its Use in Functional Proteomics
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    Chapter 6 Sybil: Methods and Software for Multiple Genome Comparison and Visualization
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    Chapter 7 Estimating Protein Function Using Protein-Protein Relationships
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    Chapter 8 Bioinformatics Tools for Modeling Transcription Factor Target Genes and Epigenetic Changes
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    Chapter 9 Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS)
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    Chapter 10 Statistical Methods for Identifying Differentially Expressed Gene Combinations
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    Chapter 11 Gene Function Analysis Using the Chicken B-Cell Line DT40
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    Chapter 12 Design and Application of a shRNA-Based Gene Replacement Retrovirus
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    Chapter 13 Construction of Simple and Efficient DNA Vector-Based Short Hairpin RNA Expression Systems for Specific Gene Silencing in Mammalian Cells
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    Chapter 14 Selection of Recombinant Antibodies From Antibody Gene Libraries
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    Chapter 15 A Bacterial/Yeast Merged Two-Hybrid System
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    Chapter 16 A Bacterial/Yeast Merged Two-Hybrid System
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    Chapter 17 Engineering Cys2His2 Zinc Finger Domains Using a Bacterial Cell-Based Two-Hybrid Selection System
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Title
Gene Function Analysis
Published by
Humana Press, February 2008
DOI 10.1007/978-1-59745-547-3
Pubmed ID
ISBNs
978-1-58829-734-1, 978-1-59745-547-3
Editors

Ochs, Michael F.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Student > Bachelor 1 10%
Other 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 50%
Biochemistry, Genetics and Molecular Biology 2 20%
Immunology and Microbiology 2 20%
Unknown 1 10%