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دانلود کتاب R Bioinformatics Cookbook: Utilize R packages for bioinformatics, genomics, data science, and machine learning

دانلود کتاب کتاب آشپزی بیوانفورماتیک R: از بسته‌های R برای بیوانفورماتیک، ژنومیک، علم داده و یادگیری ماشین استفاده کنید

R Bioinformatics Cookbook: Utilize R packages for bioinformatics, genomics, data science, and machine learning

مشخصات کتاب

R Bioinformatics Cookbook: Utilize R packages for bioinformatics, genomics, data science, and machine learning

ویرایش: 2 
نویسندگان:   
سری:  
ISBN (شابک) : 1837634270, 9781837634279 
ناشر: Packt Publishing 
سال نشر: 2023 
تعداد صفحات: 396 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 16 مگابایت 

قیمت کتاب (تومان) : 79,000



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توجه داشته باشید کتاب کتاب آشپزی بیوانفورماتیک R: از بسته‌های R برای بیوانفورماتیک، ژنومیک، علم داده و یادگیری ماشین استفاده کنید نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


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فهرست مطالب

Cover
Title Page
Copyright and Credits
Dedications
Contributors
Table of Contents
Preface
Chapter 1: Setting Up Your R Bioinformatics Working Environment
	Technical requirements
		Further information
	Setting up an R project in a directory
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using the here package to simplify working with paths
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using the devtools package to work with the latest non-CRAN packages
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Setting up your machine for the compilation of source packages
		Getting ready
		How to do it…
		How it works…
		See also
	Using the renv package to create a project-specific set of packages
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Installing and managing different versions of Bioconductor packages in environments
		Getting ready
		How to do it…
		How it works…
	Using bioconda to install external tools
		swGetting ready
		How to do it…
		How it works…
Chapter 2: Loading, Tidying, and Cleaning Data in the tidyverse
	Technical requirements
		Further information
	Loading data from files with readr
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
	Tidying a wide format table into a tidy table with tidyr
		Getting ready
		How to do it…
		How it works…
		See also
	Tidying a long format table into a tidy table with tidyr
		Getting ready
		How it works…
		There’s more…
	Combining tables using join functions
		Getting ready
		How to do it…
		How it works…
	Reformatting and extracting existing data into new columns using stringr
		Getting ready
		How to do it…
		How it works…
	Computing new data columns from existing ones and applying arbitrary functions using mutate()
		Getting ready
		How to do it…
		How it works…
	Using dplyr to summarize data in large tables
		Getting ready
		How to do it…
		How it works…
	Using datapasta to create R objects from cut-and-paste data
		Getting ready
		How to do it…
		How it works…
		There’s more…
Chapter 3: ggplot2 and Extensions for Publication Quality Plots
	Technical requirements
		Further information
	Combining many plot types in ggplot2
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Comparing changes in distributions with ggridges
		Getting ready
		How to do it…
		How it works…
	Customizing plots with ggeasy
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Highlighting selected values in busy plots with gghighlight
		Getting ready
		How to do it…
		How it works…
	Plotting variability and confidence intervals better with ggdist
		Getting ready
		How to do it…
		How it works…
	Making interactive plots with plotly
		Getting ready
		How to do it…
		How it works…
		See also
	Clarifying label placement with ggrepel
		Getting ready
		How to do it…
		How it works…
	Zooming and making callouts from selected plot sections with facetzoom
		Getting ready
		How to do it…
		How it works…
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
Chapter 4: Using Quarto to Make Data-Rich Reports, Presentations, and Websites
	Technical requirements
		Further information
	Using Markdown and Quarto for literate computation
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Creating different document formats from the same source
		Getting ready
		How to do it…
		How it works…
	Creating data-rich presentations from code
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Creating websites from collections of Quarto documents
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
	Adding interactivity with Shiny
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
Chapter 5: Easily Performing Statistical Tests Using Linear Models
	Technical requirements
		Further information
	Modeling data with a linear model
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using a linear model to compare the mean of two groups
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using a linear model and ANOVA to compare multiple groups in a single variable
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using linear models and ANOVA to compare multiple groups in multiple variables
		Getting ready
		How to do it…
		How it works…
	Testing and accounting for interactions between variables in linear models
		Getting ready
		How to do it…
		How it works…
	Doing tests for differences in data in two categorical variables
		Getting ready
		How to do it…
		How it works…
	Making predictions using linear models
		Getting ready
		How to do it…
		How it works…
		See also
Chapter 6: Performing Quantitative RNA-seq
	Technical requirements
		Further information
	Estimating differential expression with edgeR
		Getting ready
		How to do it…
		How it works…
	Estimating differential expression with DESeq2
		Getting ready
		How to do it…
		How it works…
		There’s more...
	Estimating differential expression with Kallisto and Sleuth
		Getting ready
		How to do it…
		How it works…
	Using Sleuth to analyze time course experiments
		Getting ready
		How to do it…
		How it works…
	Analyzing splice variants with SGSeq
		Getting ready
		How to do it…
		How it works…
	Performing power analysis with powsimR
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Finding unannotated transcribed regions
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Finding regions showing high expression ab initio using bumphunter
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Differential peak analysis
		Getting ready
		How to do it…
		How it works…
	Estimating batch effects with SVA
		Getting ready
		How to do it…
		How it works…
	Finding allele-specific expression with AllelicImbalance
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Presenting RNA-Seq data using ComplexHeatmap
		Getting ready
		How to do it…
		How it works…
Chapter 7: Finding Genetic Variants with HTS Data
	Technical requirements
		Further information
	Finding SNPs and INDELs from sequence data using VariantTools
	Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
	Predicting open reading frames in long reference sequences
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Plotting features on genetic maps with karyoploteR
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
	Selecting and classifying variants with VariantAnnotation
		Getting ready
		How to do it…
		How it works…
		See also
	Extracting information in genomic regions of interest
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Finding phenotype and genotype associations with GWAS
		Getting ready
		How to do it…
		How it works…
	Estimating the copy number at a locus of interest
		Getting ready
		How to do it…
		How it works…
		See also
Chapter 8: Searching Gene and Protein Sequences for Domains and Motifs
	Technical requirements
		Further information
	Finding DNA motifs with universalmotif
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Finding protein domains with PFAM and bio3d
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Finding InterPro domains
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also…
	Finding transmembrane domains with tmhmm and pureseqTM
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also
	Creating figures of protein domains using drawProteins
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Performing multiple alignments of proteins or genes
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Aligning genomic length sequences with DECIPHER
		Getting ready
		How to do it…
		How it works…
	Novel feature detection in proteins
		Getting ready
		How to do it…
		How it works…
	3D structure protein alignment in bio3d
		Getting ready
		How to do it…
		How it works…
		There’s more…
Chapter 9: Phylogenetic Analysis and Visualization
	Technical requirements
		Further information
	Reading and writing varied tree formats with ape and treeio
		Getting ready
		How to do it…
		How it works…
		See also
	Visualizing trees of many genes quickly with ggtree
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Quantifying and estimating the differences between trees with treespace
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Extracting and working with subtrees using ape
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Creating dot plots for alignment visualizations
		Getting ready
		How to do it…
		How it works…
	Reconstructing trees from alignments using phangorn
		Getting ready
		How to do it…
		How it works…
	Finding orthologue candidates using reciprocal BLASTs
		Getting ready
		How to do it…
		How it works…
		See also
Chapter 10: Analyzing Gene Annotations
	Technical requirements
		Further information
	Retrieving gene and genome annotations from BioMart
		Getting ready
		How to do it…
		How it works…
	Getting Gene Ontology information for functional analysis from appropriate databases
		Getting ready
		How to do it…
		How it works…
	Using AnnoDB packages for genome annotation
		Getting ready
		How to do it…
		How it works…
		See also
	Using ClusterProfiler for determining GO enrichment in clusters
		Getting ready
		How to do it…
		How it works…
	Finding GO enrichment in an Ontology Conditional way with topGO
		Getting ready
		How to do it…
		How it works…
	Finding enriched KEGG pathways
		Getting ready
		How to do it…
		How it works…
	Retrieving and working with SNPs
		Getting ready
		How to do it…
		How it works…
		There’s more…
Chapter 11: Machine Learning with mlr3
	Technical requirements
		Further information
	Defining a task and learner to implement k-nearest neighbors (k-NNs) in mlr3
		Getting ready
		How to do it…
		How it works…
		There’s more…
		See also...
	Testing the fit of the model using cross-validation
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Using logistic regression to classify the relative likelihood of two outcomes
		Getting ready
		How to do it…
		How it works…
		See also
	Classifying using random forest and interpreting it with iml
		Getting ready
		How to do it…
		How it works…
	Dimension reduction with PCA in mlr3 pipelines
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Creating a tSNE and UMAP embedding
		Getting ready
		How to do it…
		How it works…
	Clustering with k-means and hierarchical clustering
		Getting ready
		How to do it…
		How it works…
Chapter 12: Functional Programming with purrr and base R
	Technical requirements
		Further information
	Making base R objects “tidy”
		Getting ready
		How to do it…
		How it works…
	Using nested dataframes for functional programming
		Getting ready
		How to do it…
		How it works…
		See also
	Using the apply family of functions
		Getting ready
		How to do it…
		How it works…
	Using the map family of functions in purrr
		Getting ready
		How to do it…
		How it works…
	Working with lists in purrr
		Getting ready
		How to do it…
		How it works…
Chapter 13: Turbo-Charging Development in R with ChatGPT
	Technical requirements
		Further information
	Interpreting complicated code with ChatGPT assistance
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Debugging and improving code with ChatGPT
		Getting ready
		How to do it…
		How it works…
	Generating code with ChatGPT
	Getting ready
		How to do it…
		How it works…
		There’s more…
	Writing documentation for R functions with ChatGPT
		Getting ready
		How to do it…
		How it works…
		There’s more…
	Writing unit tests for R functions with ChatGPT
		Getting ready
		How to do it…
		How it works…
	Finding R packages to build a workflow with ChatGPT
		Getting ready
		How to do it…
		How it works…
Index
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