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Wong, Ka-Chun

Big Data Analytics in Genomics

Wong, Ka-Chun - Big Data Analytics in Genomics, ebook

138,35€

Ebook, PDF with Adobe DRM
ISBN: 9783319412795
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Table of contents

Part I. Statistical Analytics

1. Introduction to Statistical Methods for Integrative Data Analysis in Genome-Wide Association Studies
Can Yang, Xiang Wan, Jin Liu, Michael Ng

2. Robust Methods for Expression Quantitative Trait Loci Mapping
Wei Cheng, Xiang Zhang, Wei Wang

3. Causal Inference and Structure Learning of Genotype–Phenotype Networks Using Genetic Variation
Adèle H. Ribeiro, Júlia M. P. Soler, Elias Chaibub Neto, André Fujita

4. Genomic Applications of the Neyman–Pearson Classification Paradigm
Jingyi Jessica Li, Xin Tong

Part II. Computational Analytics

5. Improving Re-annotation of Annotated Eukaryotic Genomes
Shishir K. Gupta, Elena Bencurova, Mugdha Srivastava, Pirasteh Pahlavan, Johannes Balkenhol, Thomas Dandekar

6. State-of-the-Art in Smith–Waterman Protein Database Search on HPC Platforms
Enzo Rucci, Carlos García, Guillermo Botella, Armando Giusti, Marcelo Naiouf, Manuel Prieto-Matías

7. A Survey of Computational Methods for Protein Function Prediction
Amarda Shehu, Daniel Barbará, Kevin Molloy

8. Genome-Wide Mapping of Nucleosome Position and Histone Code Polymorphisms in Yeast
Muniyandi Nagarajan, Vandana R. Prabhu

Part III. Cancer Analytics

9. Perspectives of Machine Learning Techniques in Big Data Mining of Cancer
Archana Prabahar, Subashini Swaminathan

10. Mining Massive Genomic Data for Therapeutic Biomarker Discovery in Cancer: Resources, Tools, and Algorithms
Pan Tong, Hua Li

11. NGS Analysis of Somatic Mutations in Cancer Genomes
T. Prieto, J. M. Alves, D. Posada

12. OncoMiner: A Pipeline for Bioinformatics Analysis of Exonic Sequence Variants in Cancer
Ming-Ying Leung, Joseph A. Knapka, Amy E. Wagler, Georgialina Rodriguez, Robert A. Kirken

13. A Bioinformatics Approach for Understanding Genotype–Phenotype Correlation in Breast Cancer
Sohiya Yotsukura, Masayuki Karasuyama, Ichigaku Takigawa, Hiroshi Mamitsuka

Keywords: Computer Science, Computational Biology/Bioinformatics, Data Mining and Knowledge Discovery, Statistics for Life Sciences, Medicine, Health Sciences, Genetics and Population Dynamics

Editor
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783319412795
Printed ISBN
978-3-319-41278-8

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