eBook
Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R
| Title: | Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R |
|---|---|
| Description: | Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline'of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies. |
| Authors: | Hongmei Zhang |
| Resource Type: | eBook. |
| Subjects: | Gene expression--Data processing, Gene expression--Statistical methods, DNA--Methylation, R (Computer program language), Epigenetics--Statistical methods |
| Categories: | SCIENCE / Bioinformatics, COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 2481948 RelevancyScore: 950 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 949.708740234375 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R – Name: Abstract Label: Description Group: Ab Data: Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline'of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hongmei+Zhang%22">Hongmei Zhang</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Gene+expression--Data+processing%22">Gene expression--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression--Statistical+methods%22">Gene expression--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22DNA--Methylation%22">DNA--Methylation</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Epigenetics--Statistical+methods%22">Epigenetics--Statistical methods</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Bioinformatics%22">SCIENCE / Bioinformatics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2481948 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 572.865 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Gene expression--Data processing Type: general – SubjectFull: Gene expression--Statistical methods Type: general – SubjectFull: DNA--Methylation Type: general – SubjectFull: R (Computer program language) Type: general – SubjectFull: Epigenetics--Statistical methods Type: general Titles: – TitleFull: Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hongmei Zhang – PersonEntity: Name: NameFull: Hongmei Zhang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 21 M: 10 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9780367495169 – Type: isbn-print Value: 9781498772594 – Type: isbn-electronic Value: 9780429532368 – Type: isbn-electronic Value: 9781498772600 – Type: isbn-electronic Value: 9780429155192 Titles: – TitleFull: Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R Type: main |
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