The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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This package implements a suite of methods to preprocess data from PTR-TOF-MS instruments (HDF5 format) and generates the 'sample by features' table of peak intensities in addition to the sample and feature metadata (as a single ExpressionSet object for subsequent statistical analysis). This package also permit usefull tools for cohorts management as analyzing data progressively, visualization tools and quality control. The steps include calibration, expiration detection, peak detection and qua
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Preprocess a directory of raw PTR-TOF-MS HDF5 files to calibrate, detect peaks, align samples, impute missing values, annotate VOCs, and export an ExpressionSet.
library(ptairMS)
dirRaw <- system.file("extdata/exhaledAir", package = "ptairData")
# Create ptrSet
exhaledPtrset <- createPtrSet(
dir = dirRaw,
setName = "exhaledPtrset",
mzCalibRef = c(21.022, 60.0525),
fracMaxTIC = 0.7,
saveDir = NULL
)
# Detect peaks
exhaledPtrset <- detectPeak(exhaledPtrset)
# Align samples
exhaledEset <- alignSamples(exhaledPtrset, group = "individual", fracGroup = 1, fracExp = 1/6)
# Impute missing values
exhaledEset <- ptairMS::impute(exhaledEset, exhaledPtrset)
# Annotate VOCs
exhaledEset <- annotateVOC(exhaledEset)
# Export
writeEset(exhaledEset, dirC = file.path(getwd(), "processed_dataset"))
Note: Inputs are a directory containing raw HDF5 files (.h5); the output is an ExpressionSet object and exported TSV files.
This package implements a suite of methods to preprocess data from PTR-TOF-MS instruments (HDF5 form
Steps:
library(ptairMS)
dirRaw <- system.file("extdata/exhaledAir", package = "ptairData")
samplePath <- getFileNames(createPtrSet(dir = dirRaw, setName = "temp", mzCalibRef = c(21.022, 60.0525), saveDir = NULL), fullNames = TRUE)[1]
# 1. Read the raw file
sampleRaw <- readRaw(samplePath, calib = FALSE)
# 2. Perform calibration (done during readRaw or via calibration on ptrSet)
# 3. Determine time limits
expirationLimit <- timeLimits(sampleRaw, fracMaxTIC = 0.5, plotDel = TRUE, mzBreathTracer = 60.05)
Note: Inputs are a path to a single raw HDF5 file; the output is the determined time limits of expiration or headspace duration.
.h5 extension) using createPtrSet().calibration().detectPeak().ExpressionSet using alignSamples().impute().annotateVOC().xcms instead.MSnbase or Spectra instead..h5).c(21.022, 60.0525)).0.7): Fraction of maximum Total Ion Chromatogram (TIC) used to determine expiration or headspace time limits.60.05 for acetone).60): Time interval in seconds for periodic calibration to correct mass drift.plot(ptrSet) to check calibration errors (in ppm), resolution, and primary ion isotope intensity over time.plotCalib() to inspect the average total ion spectrum around reference masses if calibration errors are high.plotTIC() with showLimits = TRUE and baselineRm = TRUE to verify the detected expiration or headspace time limits.plotRaw() or plotFeatures() to visualize raw spectra and check the robustness of potential markers.ExpressionSet intensities using log2(exprs(eset)) to stabilize variance before statistical analysis.calibrationPeriod (default 60 seconds) to perform periodic calibration.fracMaxTIC or specifying a specific mzBreathTracer in changeTimeLimits().importSampleMetadata().xcms for comprehensive preprocessing of LC-MS and GC-MS data.MSnbase for general mass spectrometry data container and processing.Spectra for low-level mass spectrometry raw data representation.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
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This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
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apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
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ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
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AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
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