Papers: 10.1371/journal.pcbi.1000227
https://doi.org/10.1371/journal.pcbi.1000227
Analyzing ChIP-chip Data Using Bioconductor
Cited by: 19
Author(s): Joern Toedling, Wolfgang Huber
Published: over 16 years ago
Software Mentions 39
bioconductor: ACME
Algorithms for Calculating Microarray Enrichment (ACME)Papers that mentioned: 63
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bioconductor: AnnotationDbi
Manipulation of SQLite-based annotations in BioconductorPapers that mentioned: 73
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bioconductor: arrayQualityMetrics
Quality metrics report for microarray data setsPapers that mentioned: 190
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bioconductor: genefilter
genefilter: methods for filtering genes from high-throughput experimentsPapers that mentioned: 142
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bioconductor: tilingArray
Transcript mapping with high-density oligonucleotide tiling arraysPapers that mentioned: 17
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bioconductor: vsn
Variance stabilization and calibration for microarray dataPapers that mentioned: 91
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cran: KernSmooth
Functions for Kernel Smoothing Supporting Wand & Jones (1995)Papers that mentioned: 34
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pypi: lattice
A framework for developing data models, including schema development and documentation.Papers that mentioned: 251
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pypi: xtable
operate table format in console. console table, csv, json, yaml and markdown.Papers that mentioned: 32
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