Big data analysis for bioinformatics and biomedical discoveries
Author(s)
Bibliographic Information
Big data analysis for bioinformatics and biomedical discoveries
（Chapman and Hall/CRC mathematical & computational biology series / series editors Alison M. Etheridge ... [et al.]）
CRC Press/Taylor & Francis Group, c2016
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Note
"A Chapman & Hall book."
Includes bibliographical references and index
Contents of Works
- Linux for big data analysis / Shui Qing Ye and Ding-You Li
- Phython for big data analysis / Dmitry N. Grigoryev
- R for big data analysis / Stephen D. Simon
- Genome-seq data analysis / Min Xiong, Li Qin Zhang, and Shui Qing Ye
- RNA-seq data analysis / Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing Ye
- Microbiome-seq data analysis / Daniel P. Heruth, Min Xiong, and Xun Jiang
- miRNA-seq data analysis / Daniel P. Heruth, Min Xiong, and Guang-Liang Bi
- Methylome-seq data analysis / Chengpeng Bi
- ChIP-seq data analysis / Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye
- Integrating omics data in big data analysis / Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye
- Pharmacogenetics and genomics / Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. Cavallari
- Exploring de-identified electronic health record data with i2b2 / Mark Hoffman
- Big data and drug discovery / Gerald J. Wyckoff and D. Andrew Skaff
- Literature-based knowledge discovery / Hongfang Liu and Majid Rastegar-Mojarad
- Mitigating high dimensionality in big data analysis / Deendayal Dinakarppandian
