Omic association studies with R and Bioconductor. (2019)

• Record Type: Book
• Further Information: Note: Juan R. González, Alejandro Cáceres.
• Authors: (Bioinformatics researcher), González, Juan R; (Bioinformatics researcher), Cáceres, Alejandro
• Contents: 1 Introduction 2 Case examples 3 Dealing with omic data in Bioconductor 4 Genetic association studies 5 Genomic variant studies 6 Adressing batch effects 7 Transcriptomic studies 8 Epigenomic studies 9 Exposomic analysis 10 Enrichment analysis 11 Multiomic data analysis
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2019
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 572.3302855133; Molecular genetics; Molecular genetics -- Data processing; Phenotype; Gene expression; DNA; R (Computer program language)
• Languages: English
• ISBNs: 9780429803369; 9780429803376; 9780429803352; 9780429440557
• Related ISBNs: 9781138340565
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.