httpuv - HTTP and WebSocket Server Library
Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Last updated 1 years ago
libuv1cpp
11.78 score 2.0k dependents 724 scripts 590k downloadsMassSpecWavelet - Peak Detection for Mass Spectrometry data using wavelet-based algorithms
Peak Detection in Mass Spectrometry data is one of the important preprocessing steps. The performance of peak detection affects subsequent processes, including protein identification, profile alignment and biomarker identification. Using Continuous Wavelet Transform (CWT), this package provides a reliable algorithm for peak detection that does not require any type of smoothing or previous baseline correction method, providing more consistent results for different spectra. See <doi:10.1093/bioinformatics/btl355} for further details.
Last updated 9 days ago
immunooncologymassspectrometryproteomicspeakdetection
9.25 score 8 stars 15 dependents 36 scripts 3.3k downloadsMassSpecWavelet - Peak Detection for Mass Spectrometry data using wavelet-based algorithms
Peak Detection in Mass Spectrometry data is one of the important preprocessing steps. The performance of peak detection affects subsequent processes, including protein identification, profile alignment and biomarker identification. Using Continuous Wavelet Transform (CWT), this package provides a reliable algorithm for peak detection that does not require any type of smoothing or previous baseline correction method, providing more consistent results for different spectra. See <doi:10.1093/bioinformatics/btl355} for further details.
Last updated 9 days ago
immunooncologymassspectrometryproteomicspeakdetection
7.74 score 8 stars 15 dependents 36 scriptsAlpsNMR - Automated spectraL Processing System for NMR
Reads Bruker NMR data directories both zipped and unzipped. It provides automated and efficient signal processing for untargeted NMR metabolomics. It is able to interpolate the samples, detect outliers, exclude regions, normalize, detect peaks, align the spectra, integrate peaks, manage metadata and visualize the spectra. After spectra proccessing, it can apply multivariate analysis on extracted data. Efficient plotting with 1-D data is also available. Basic reading of 1D ACD/Labs exported JDX samples is also available.
Last updated 2 months ago
softwarepreprocessingvisualizationclassificationcheminformaticsmetabolomicsdataimport
7.11 score 15 stars 12 scripts 269 downloadsAlpsNMR - Automated spectraL Processing System for NMR
Reads Bruker NMR data directories both zipped and unzipped. It provides automated and efficient signal processing for untargeted NMR metabolomics. It is able to interpolate the samples, detect outliers, exclude regions, normalize, detect peaks, align the spectra, integrate peaks, manage metadata and visualize the spectra. After spectra proccessing, it can apply multivariate analysis on extracted data. Efficient plotting with 1-D data is also available. Basic reading of 1D ACD/Labs exported JDX samples is also available.
Last updated 5 months ago
softwarepreprocessingvisualizationclassificationcheminformaticsmetabolomicsdataimport
7.03 score 15 stars 12 scriptscondformat - Conditional Formatting in Data Frames
Apply and visualize conditional formatting to data frames in R. It renders a data frame with cells formatted according to criteria defined by rules, using a tidy evaluation syntax. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column. This package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.
Last updated 1 years ago
formattinghtmllatextablevisualisation
6.52 score 25 stars 1 dependents 89 scripts 849 downloads
GCIMS - Pre-processing for GC-IMS data
A package for the analysis of ion mobility spectrometry (IMS) measurements, as well as samples from multicapillary columns coupled with IMS (MCC-IMS) and gas chromatography coupled to ion mobility spectrometry (GC-IMS). The package provides a complete workflow for the analysis, importing the data, preprocessing the spectra as well as classification and regression techniques for the modelling of the spectra. The package also includes visualization helpers, to represent topographic plots, extracted and total ion chromatograms and IMS spectra.
Last updated 1 months ago
softwarepreprocessingvisualizationclassificationcheminformaticsmetabolomicsdataimport
5.61 score 3 stars 6 scriptssgolay - Efficient Savitzky-Golay Filtering
Smoothing signals and computing their derivatives is a common requirement in signal processing workflows. Savitzky-Golay filters are a established method able to do both (Savitzky and Golay, 1964 <doi:10.1021/ac60214a047>). This package implements one dimensional Savitzky-Golay filters that can be applied to vectors and matrices (either row-wise or column-wise). Vectorization and memory allocations have been profiled to reduce computational fingerprint. Short filter lengths are implemented in the direct space, while longer filters are implemented in frequency space, using a Fast Fourier Transform (FFT).
Last updated 2 years ago
openblas
3.54 score 7 stars 2 scripts 233 downloadsChemometricsWithR - Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences (2nd Edition)
Functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences", 2nd edition, by Ron Wehrens, Springer (2019).
Last updated 4 years ago
3.02 score 14 stars 15 scripts 92 downloads