Bookedited by Michael F. Ochs, Department of Mathematics & Statistics, the College of New Jersey, Wing, NJ, USA.
Contents:
The Present State and Future Direction of Integrated Gene Function Analysis
Performing Integrative Functional Genomics Analysis in GeneWeaver.org
Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies
Integrative Data-Mining Tools to Link Gene and Function
Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome-Interactome Integration
Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization
Statistical Tools and R Software for Cancer Driver Probabilities
Predicting the Functional Consequences of Somatic Missense Mutations Found in Tumors
Determining the Effect of DNA Methylation on Gene Expression in Cancer Cells
Reverse Engineering Transcriptional Gene Networks
Integrating In Silico Resources to Map a Signaling Network
A Method for Inducible Gene Over-Expression and Down-Regulation in Emerging Model Species Using Pogostick
Construction and Application of Site-Specific Artificial Nucleases for Targeted Gene Editing
Selection of Recombinant Antibodies from Antibody Gene Libraries
Construction of Simple and Efficient siRNA Validation Systems for Screening and Identification of Effective RNAi-Targeted Sequences from Mammalian Genes
Rapid Genetic Modification of Mouse Embryonic Stem Cells by Inducible Cassette Exchange Recombination
In Ovo Electroporation of miRNA-Based-Plasmids to Investigate Gene Function in the Developing Neural Tube
Proteomic Strategies: SILAC and 2D-DIGE--Powerful Tool to Investigate Cellular Alterations
Conditional Gene-Trap Mutagenesis in Zebrafish.