Showing 24 of total 24 results (show query)
r-lib
rlang:Functions for Base Types and Core R and 'Tidyverse' Features
A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Maintained by Lionel Henry. Last updated 5 days ago.
517 stars 20.56 score 9.8k scripts 15k dependents
bioc
Biobase:Biobase: Base functions for Bioconductor
Functions that are needed by many other packages or which replace R functions.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
infrastructurebioconductor-packagecore-package
9 stars 16.45 score 6.6k scripts 1.8k dependents
pharmaverse
admiral:ADaM in R Asset Library
A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Maintained by Ben Straub. Last updated 5 days ago.
cdiscclinical-trialsopen-source
239 stars 13.97 score 486 scripts 4 dependents
gergness
srvyr:'dplyr'-Like Syntax for Summary Statistics of Survey Data
Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Maintained by Greg Freedman Ellis. Last updated 2 months ago.
215 stars 13.88 score 1.8k scripts 15 dependentsbioc
MSnbase:Base Functions and Classes for Mass Spectrometry and Proteomics
MSnbase provides infrastructure for manipulation, processing and visualisation of mass spectrometry and proteomics data, ranging from raw to quantitative and annotated data.
Maintained by Laurent Gatto. Last updated 16 days ago.
immunooncologyinfrastructureproteomicsmassspectrometryqualitycontroldataimportbioconductorbioinformaticsmass-spectrometryproteomics-datavisualisationcpp
131 stars 12.76 score 772 scripts 36 dependents
markfairbanks
tidytable:Tidy Interface to 'data.table'
A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Maintained by Mark Fairbanks. Last updated 2 months ago.
460 stars 11.39 score 732 scripts 11 dependentsbioc
affy:Methods for Affymetrix Oligonucleotide Arrays
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
Maintained by Robert D. Shear. Last updated 3 months ago.
microarrayonechannelpreprocessing
11.12 score 2.5k scripts 98 dependentsbioc
oligo:Preprocessing tools for oligonucleotide arrays
A package to analyze oligonucleotide arrays (expression/SNP/tiling/exon) at probe-level. It currently supports Affymetrix (CEL files) and NimbleGen arrays (XYS files).
Maintained by Benilton Carvalho. Last updated 21 days ago.
microarrayonechanneltwochannelpreprocessingsnpdifferentialexpressionexonarraygeneexpressiondataimportzlib
3 stars 10.42 score 528 scripts 10 dependentsbioc
EDASeq:Exploratory Data Analysis and Normalization for RNA-Seq
Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).
Maintained by Davide Risso. Last updated 5 months ago.
immunooncologysequencingrnaseqpreprocessingqualitycontroldifferentialexpression
5 stars 10.24 score 594 scripts 9 dependentsbioc
flowCore:flowCore: Basic structures for flow cytometry data
Provides S4 data structures and basic functions to deal with flow cytometry data.
Maintained by Mike Jiang. Last updated 5 months ago.
immunooncologyinfrastructureflowcytometrycellbasedassayscpp
10.17 score 1.7k scripts 59 dependentsbioc
methylumi:Handle Illumina methylation data
This package provides classes for holding and manipulating Illumina methylation data. Based on eSet, it can contain MIAME information, sample information, feature information, and multiple matrices of data. An "intelligent" import function, methylumiR can read the Illumina text files and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from HumanMethylation27 and HumanMethylation450 microarrays. Normalization, background correction, and quality control features for GoldenGate, Infinium, and Infinium HD arrays are also included.
Maintained by Sean Davis. Last updated 5 months ago.
dnamethylationtwochannelpreprocessingqualitycontrolcpgisland
9 stars 9.90 score 89 scripts 9 dependents
ropensci
tidyhydat:Extract and Tidy Canadian 'Hydrometric' Data
Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Maintained by Sam Albers. Last updated 18 days ago.
citzgovernment-datahydrologyhydrometricstidy-datawater-resources
71 stars 9.59 score 202 scripts 3 dependentsbioc
vsn:Variance stabilization and calibration for microarray data
The package implements a method for normalising microarray intensities from single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
Maintained by Wolfgang Huber. Last updated 5 months ago.
microarrayonechanneltwochannelpreprocessing
8.49 score 924 scripts 51 dependentsbioc
beadarray:Quality assessment and low-level analysis for Illumina BeadArray data
The package is able to read bead-level data (raw TIFFs and text files) output by BeadScan as well as bead-summary data from BeadStudio. Methods for quality assessment and low-level analysis are provided.
Maintained by Mark Dunning. Last updated 5 months ago.
microarrayonechannelqualitycontrolpreprocessing
7.88 score 70 scripts 4 dependentsropensci
ruODK:An R Client for the ODK Central API
Access and tidy up data from the 'ODK Central' API. 'ODK Central' is a clearinghouse for digitally captured data using ODK <https://docs.getodk.org/central-intro/>. It manages user accounts and permissions, stores form definitions, and allows data collection clients like 'ODK Collect' to connect to it for form download and submission upload. The 'ODK Central' API is documented at <https://docs.getodk.org/central-api/>.
Maintained by Florian W. Mayer. Last updated 5 months ago.
databaseopen-dataodkapidatadatasetodataodata-clientodk-centralopendatakit
42 stars 7.73 score 57 scripts 1 dependents
junjunlab
ClusterGVis:One-Step to Cluster and Visualize Gene Expression Data
Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.
Maintained by Jun Zhang. Last updated 20 days ago.
sequencingclusterprofilersummarizedexperimentmfuzzcomplexheatmapgene-clusteringgene-expressionvisualization
281 stars 6.80 score 30 scriptsbioc
lumi:BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
The lumi package provides an integrated solution for the Illumina microarray data analysis. It includes functions of Illumina BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific variance stabilization, normalization and gene annotation at the probe level. It also includes the functions of processing Illumina methylation microarrays, especially Illumina Infinium methylation microarrays.
Maintained by Lei Huang. Last updated 5 months ago.
microarrayonechannelpreprocessingdnamethylationqualitycontroltwochannel
6.26 score 294 scripts 5 dependentsbioc
oligoClasses:Classes for high-throughput arrays supported by oligo and crlmm
This package contains class definitions, validity checks, and initialization methods for classes used by the oligo and crlmm packages.
Maintained by Benilton Carvalho. Last updated 5 months ago.
5.86 score 93 scripts 17 dependents
fredhasselman
invctr:Infix Functions For Vector Operations
Vector operations between grapes: An infix-only package! The 'invctr' functions perform common and less common operations on vectors, data frames matrices and list objects: - Extracting a value (range), or, finding the indices of a value (range). - Trimming, or padding a vector with a value of your choice. - Simple polynomial regression. - Set and membership operations. - General check & replace function for NAs, Inf and other values.
Maintained by Fred Hasselman. Last updated 1 months ago.
5 stars 5.30 score 40 scriptsbioc
ddCt:The ddCt Algorithm for the Analysis of Quantitative Real-Time PCR (qRT-PCR)
The Delta-Delta-Ct (ddCt) Algorithm is an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. Compared to other approaches, it requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The ddCt package implements a pipeline to collect, analyse and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions.
Maintained by Jitao David Zhang. Last updated 5 months ago.
geneexpressiondifferentialexpressionmicrotitreplateassayqpcr
4.38 score 8 scriptsbioc
InTAD:Search for correlation between epigenetic signals and gene expression in TADs
The package is focused on the detection of correlation between expressed genes and selected epigenomic signals (i.e. enhancers obtained from ChIP-seq data) either within topologically associated domains (TADs) or between chromatin contact loop anchors. Various parameters can be controlled to investigate the influence of external factors and visualization plots are available for each analysis step.
Maintained by Konstantin Okonechnikov. Last updated 5 months ago.
epigeneticssequencingchipseqrnaseqhicgeneexpressionimmunooncology
4.30 score 6 scriptsbioc
codelink:Manipulation of Codelink microarray data
This package facilitates reading, preprocessing and manipulating Codelink microarray data. The raw data must be exported as text file using the Codelink software.
Maintained by Diego Diez. Last updated 5 months ago.
microarrayonechanneldataimportpreprocessing
4.20 score 5 scriptsbioc
diggit:Inference of Genetic Variants Driving Cellular Phenotypes
Inference of Genetic Variants Driving Cellullar Phenotypes by the DIGGIT algorithm
Maintained by Mariano J Alvarez. Last updated 5 months ago.
systemsbiologynetworkenrichmentgeneexpressionfunctionalpredictiongeneregulation
3.30 score 3 scripts
tjmahr
tjmisc:TJ's Miscellany
A collection of helper functions.
Maintained by Tristan Mahr. Last updated 2 years ago.
10 stars 2.70 score 5 scripts