r-rmarkdown
|
2.27-1 |
1 |
0.00
|
Dynamic Documents for R |
pekkarr
|
2024-05-17 18:03 (UTC) |
r-rmzqc
|
0.5.4-1 |
0 |
0.00
|
Creation, Reading and Validation of 'mzqc' Files |
pekkarr
|
2024-04-16 12:05 (UTC) |
r-rnamodr.data
|
1.18.0-1 |
0 |
0.00
|
Example data for the RNAmodR package |
pekkarr
|
2024-05-04 01:07 (UTC) |
r-rnaseqcovarimpute
|
1.2.0-1 |
0 |
0.00
|
Impute Covariate Data in RNA Sequencing Studies |
pekkarr
|
2024-05-10 12:04 (UTC) |
r-rnbeads.hg38
|
1.36.0-1 |
0 |
0.00
|
RnBeads.hg38 |
pekkarr
|
2024-05-07 11:47 (UTC) |
r-rnetcdf
|
2.9.2-1 |
0 |
0.00
|
Interface to 'NetCDF' Datasets |
pekkarr
|
2024-03-25 06:28 (UTC) |
r-roastgsa
|
1.2.0-1 |
0 |
0.00
|
Rotation based gene set analysis |
pekkarr
|
2024-05-02 12:32 (UTC) |
r-robumeta
|
2.1-3 |
0 |
0.00
|
Robust Variance Meta-Regression |
pekkarr
|
2024-04-24 21:14 (UTC) |
r-robustbase
|
0.99.3-1 |
0 |
0.00
|
Basic Robust Statistics |
pekkarr
|
2024-07-02 06:02 (UTC) |
r-rodbc
|
1.3.23-2 |
0 |
0.00
|
ODBC Database Access |
pekkarr
|
2024-04-24 23:18 (UTC) |
r-rolde
|
1.8.0-1 |
0 |
0.00
|
Robust longitudinal Differential Expression |
pekkarr
|
2024-05-02 20:23 (UTC) |
r-rose
|
0.0.4-4 |
0 |
0.00
|
Random Over-Sampling Examples |
pekkarr
|
2024-04-24 19:26 (UTC) |
r-rprimer
|
1.8.0-1 |
0 |
0.00
|
Design Degenerate Oligos from a Multiple DNA Sequence Alignment |
pekkarr
|
2024-05-02 18:38 (UTC) |
r-rprotobuf
|
0.4.22-1 |
0 |
0.00
|
R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3) |
pekkarr
|
2024-01-21 18:05 (UTC) |
r-rserve
|
1.8.13-2 |
0 |
0.00
|
Binary R server |
pekkarr
|
2024-01-25 18:01 (UTC) |
r-rspectral
|
1.0.0.10-3 |
0 |
0.00
|
Spectral Modularity Clustering |
pekkarr
|
2024-04-25 13:38 (UTC) |
r-rsqlite
|
2.3.7-1 |
0 |
0.00
|
SQLite Interface for R |
pekkarr
|
2024-05-27 12:03 (UTC) |
r-rstpm2
|
1.6.3-2 |
0 |
0.00
|
Smooth Survival Models, Including Generalized Survival Models |
pekkarr
|
2024-04-25 07:12 (UTC) |
r-rtkore
|
1.6.12-1 |
0 |
0.00
|
'STK++' Core Library Integration to 'R' using 'Rcpp' |
pekkarr
|
2024-06-02 12:01 (UTC) |
r-rttf2pt1
|
1.3.12-4 |
0 |
0.00
|
'ttf2pt1' Program |
pekkarr
|
2024-04-24 21:47 (UTC) |
r-runit
|
0.4.33-1 |
0 |
0.00
|
R Unit Test Framework |
pekkarr
|
2024-03-17 13:17 (UTC) |
r-rust
|
1.4.2-2 |
0 |
0.00
|
Ratio-of-Uniforms Simulation with Transformation |
pekkarr
|
2024-04-25 07:48 (UTC) |
r-rvinecopulib
|
0.6.3.1.1-3 |
0 |
0.00
|
High Performance Algorithms for Vine Copula Modeling |
pekkarr
|
2024-04-26 01:13 (UTC) |
r-rvisdiff
|
1.2.0-1 |
0 |
0.00
|
Interactive Graphs for Differential Expression |
pekkarr
|
2024-05-02 05:46 (UTC) |
r-safetensors
|
0.1.2-3 |
0 |
0.00
|
Safetensors File Format |
pekkarr
|
2024-04-24 23:45 (UTC) |
r-sampleselection
|
1.2.12-3 |
0 |
0.00
|
Sample Selection Models |
pekkarr
|
2024-04-25 21:31 (UTC) |
r-samplingbook
|
1.2.4-3 |
0 |
0.00
|
Survey Sampling Procedures |
pekkarr
|
2024-04-25 10:22 (UTC) |
r-sarc
|
1.2.0-1 |
0 |
0.00
|
Statistical Analysis of Regions with CNVs |
pekkarr
|
2024-05-03 12:50 (UTC) |
r-sass
|
0.4.9-1 |
0 |
0.00
|
Syntactically Awesome Style Sheets ('Sass') |
pekkarr
|
2024-03-16 00:09 (UTC) |
r-scarray.sat
|
1.4.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data analysis using GDS files and Seurat |
pekkarr
|
2024-05-03 00:09 (UTC) |
r-scbubbletree
|
1.6.0-1 |
0 |
0.00
|
Quantitative visual exploration of scRNA-seq data |
pekkarr
|
2024-05-02 05:55 (UTC) |
r-sccomp
|
1.8.0-1 |
0 |
0.00
|
Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data |
pekkarr
|
2024-05-05 12:16 (UTC) |
r-scddboost
|
1.6.0-1 |
0 |
0.00
|
A compositional model to assess expression changes from single-cell rna-seq data |
pekkarr
|
2024-05-02 21:56 (UTC) |
r-scdesign3
|
1.2.0-1 |
0 |
0.00
|
A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics |
pekkarr
|
2024-05-05 12:05 (UTC) |
r-scfeatures
|
1.4.0-1 |
0 |
0.00
|
Multi-view representations of single-cell and spatial data for disease outcome prediction |
pekkarr
|
2024-05-03 18:38 (UTC) |
r-scider
|
1.2.0-1 |
0 |
0.00
|
Spatial cell-type inter-correlation by density in R |
pekkarr
|
2024-05-03 09:11 (UTC) |
r-scifer
|
1.6.0-1 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-05-03 18:30 (UTC) |
r-scmet
|
1.6.0-1 |
0 |
0.00
|
Bayesian modelling of cell-to-cell DNA methylation heterogeneity |
pekkarr
|
2024-05-02 21:48 (UTC) |
r-scoringrules
|
1.1.1-4 |
0 |
0.00
|
Scoring Rules for Parametric and Simulated Distribution Forecasts |
pekkarr
|
2024-04-25 07:53 (UTC) |
r-screencounter
|
1.4.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2024-05-02 20:05 (UTC) |
r-screenr
|
1.6.0-1 |
0 |
0.00
|
Package to Perform High Throughput Biological Screening |
pekkarr
|
2024-05-02 05:48 (UTC) |
r-scrnaseqapp
|
1.4.0-1 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2024-05-05 12:17 (UTC) |
r-scrypt
|
0.1.6-3 |
0 |
0.00
|
Key Derivation Functions for R Based on Scrypt |
pekkarr
|
2024-04-25 02:37 (UTC) |
r-scvir
|
1.4.0-1 |
0 |
0.00
|
experimental inferface from R to scvi-tools |
pekkarr
|
2024-05-03 01:55 (UTC) |
r-seq.hotspot
|
1.4.0-1 |
0 |
0.00
|
Targeted sequencing panel design based on mutation hotspots |
pekkarr
|
2024-05-02 04:48 (UTC) |
r-seqarchr
|
1.8.0-1 |
0 |
0.00
|
Identify Different Architectures of Sequence Elements |
pekkarr
|
2024-05-02 18:36 (UTC) |
r-seqarchrplus
|
1.4.0-1 |
0 |
0.00
|
Downstream analyses of promoter sequence architectures and HTML report generation |
pekkarr
|
2024-05-03 04:24 (UTC) |
r-sfarrow
|
0.4.1-3 |
0 |
0.00
|
Read/Write Simple Feature Objects ('sf') with 'Apache' 'Arrow' |
pekkarr
|
2024-04-25 13:02 (UTC) |
r-sfedata
|
1.6.0-1 |
0 |
0.00
|
Example SpatialFeatureExperiment datasets |
pekkarr
|
2024-05-04 18:25 (UTC) |
r-sfsmisc
|
1.1.18-1 |
0 |
0.00
|
Utilities from 'Seminar fuer Statistik' ETH Zurich |
pekkarr
|
2024-04-25 18:09 (UTC) |