r-scifer
|
1.4.0-4 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-04-26 14:57 (UTC) |
r-scmet
|
1.4.0-3 |
0 |
0.00
|
Bayesian modelling of cell-to-cell DNA methylation heterogeneity |
pekkarr
|
2024-02-08 13:59 (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
|
1.2.0-3 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2024-04-27 00:53 (UTC) |
r-screenr
|
1.4.0-3 |
0 |
0.00
|
Package to Perform High Throughput Biological Screening |
pekkarr
|
2024-04-25 18:56 (UTC) |
r-scrnaseqapp
|
1.2.2-3 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2024-04-27 22:08 (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
|
1.2.0-3 |
0 |
0.00
|
experimental inferface from R to scvi-tools |
pekkarr
|
2024-04-27 05:47 (UTC) |
r-seq.hotspot
|
1.2.0-3 |
0 |
0.00
|
Targeted sequencing panel design based on mutation hotspots |
pekkarr
|
2024-04-25 07:59 (UTC) |
r-seqarchr
|
1.6.0-3 |
0 |
0.00
|
Identify Different Architectures of Sequence Elements |
pekkarr
|
2024-04-26 14:31 (UTC) |
r-seqarchrplus
|
1.2.0-3 |
0 |
0.00
|
Downstream analyses of promoter sequence architectures and HTML report generation |
pekkarr
|
2024-04-28 17:47 (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
|
1.4.0-3 |
0 |
0.00
|
Example SpatialFeatureExperiment datasets |
pekkarr
|
2024-04-26 16:55 (UTC) |
r-sfsmisc
|
1.1.18-1 |
0 |
0.00
|
Utilities from 'Seminar fuer Statistik' ETH Zurich |
pekkarr
|
2024-04-25 18:09 (UTC) |
r-sgcp
|
1.2.0-4 |
0 |
0.00
|
A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks |
pekkarr
|
2024-04-28 20:21 (UTC) |
r-shinycyjs
|
1.0.0-1 |
0 |
0.00
|
Create Interactive Network Visualizations in R and 'shiny' |
pekkarr
|
2024-04-12 15:06 (UTC) |
r-shinyjs
|
2.1.0-8 |
0 |
0.00
|
Easily Improve the User Experience of Your Shiny Apps in Seconds |
pekkarr
|
2024-04-25 19:46 (UTC) |
r-shinylogs
|
0.2.1-3 |
0 |
0.00
|
Record Everything that Happens in a 'Shiny' Application |
pekkarr
|
2024-04-25 19:59 (UTC) |
r-shinymanager
|
1.0.410-3 |
0 |
0.00
|
Authentication Management for 'Shiny' Applications |
pekkarr
|
2024-04-25 23:18 (UTC) |
r-shinymeta
|
0.2.0.3-3 |
0 |
0.00
|
Export Domain Logic from Shiny using Meta-Programming |
pekkarr
|
2024-04-30 12:03 (UTC) |
r-shinytitle
|
0.1.0-3 |
0 |
0.00
|
Update Browser Window Title in 'shiny' Session |
pekkarr
|
2024-04-25 19:58 (UTC) |
r-signifinder
|
1.4.0-3 |
0 |
0.00
|
Implementations of transcriptional cancer signatures |
pekkarr
|
2024-04-28 20:07 (UTC) |
r-simona
|
1.0.10-1 |
0 |
0.00
|
Semantic Similarity in Bio-Ontologies |
pekkarr
|
2024-04-12 17:49 (UTC) |
r-simpleseg
|
1.4.1-2 |
0 |
0.00
|
A package to perform simple cell segmentation |
pekkarr
|
2024-04-28 17:50 (UTC) |
r-single
|
1.6.0-3 |
0 |
0.00
|
Accurate consensus sequence from nanopore reads of a gene library |
pekkarr
|
2024-04-27 13:21 (UTC) |
r-sipsic
|
1.2.2-2 |
0 |
0.00
|
Calculate Pathway Scores for Each Cell in scRNA-Seq Data |
pekkarr
|
2024-04-27 02:38 (UTC) |
r-sourcetools
|
0.1.7.1-4 |
0 |
0.00
|
Tools for Reading, Tokenizing and Parsing R Code |
pekkarr
|
2024-04-25 07:05 (UTC) |
r-sp
|
2.1.4-1 |
2 |
0.00
|
Classes and Methods for Spatial Data |
pekkarr
|
2024-04-30 18:02 (UTC) |
r-spamm
|
4.4.16-1 |
0 |
0.00
|
Mixed-Effect Models, with or without Spatial Random Effects |
pekkarr
|
2024-03-23 11:26 (UTC) |
r-sparsearray
|
1.2.4-2 |
0 |
0.00
|
Efficient in-memory representation of multidimensional sparse arrays |
pekkarr
|
2024-04-27 00:02 (UTC) |
r-sparsem
|
1.81-11 |
1 |
0.00
|
Sparse Linear Algebra |
pekkarr
|
2024-04-24 18:29 (UTC) |
r-spasim
|
1.4.0-3 |
0 |
0.00
|
Spatial point data simulator for tissue images |
pekkarr
|
2024-04-27 04:30 (UTC) |
r-spatialfeatureexperiment
|
1.4.0-3 |
0 |
0.00
|
Integrating SpatialExperiment with Simple Features in sf |
pekkarr
|
2024-04-28 15:00 (UTC) |
r-spatiallibd
|
1.14.1-3 |
0 |
0.00
|
an R/Bioconductor package to visualize spatially-resolved transcriptomics data |
pekkarr
|
2024-04-27 22:19 (UTC) |
r-spdata
|
2.3.0-3 |
0 |
0.00
|
Datasets for Spatial Analysis |
pekkarr
|
2024-04-25 00:25 (UTC) |
r-spdep
|
1.3.3-1 |
0 |
0.00
|
Spatial Dependence: Weighting Schemes, Statistics |
pekkarr
|
2024-02-07 18:05 (UTC) |
r-speckle
|
1.2.0-1 |
0 |
0.00
|
Statistical methods for analysing single cell RNA-seq data |
pekkarr
|
2023-11-14 17:41 (UTC) |
r-spelling
|
2.3.0-1 |
0 |
0.00
|
Tools for Spell Checking in R |
pekkarr
|
2024-03-05 06:01 (UTC) |
r-spiat
|
1.4.2-1 |
0 |
0.00
|
Spatial Image Analysis of Tissues |
pekkarr
|
2024-03-22 18:04 (UTC) |
r-splicewiz
|
1.4.1-2 |
0 |
0.00
|
Easy, optimized, and accurate alternative splicing analysis in R |
pekkarr
|
2024-04-28 14:19 (UTC) |
r-spotclean
|
1.4.1-3 |
0 |
0.00
|
SpotClean adjusts for spot swapping in spatial transcriptomics data |
pekkarr
|
2024-04-27 05:21 (UTC) |
r-spotlight
|
1.6.7-1 |
0 |
0.00
|
`SPOTlight`: Spatial Transcriptomics Deconvolution |
pekkarr
|
2024-04-13 10:30 (UTC) |
r-ssanv
|
1.1-4 |
0 |
0.00
|
Sample Size Adjusted for Nonadherence or Variability of Input Parameters |
pekkarr
|
2024-04-24 22:37 (UTC) |
r-ssc
|
2.1.0-3 |
0 |
0.00
|
Semi-Supervised Classification Methods |
pekkarr
|
2024-04-26 17:04 (UTC) |
r-ssnappy
|
1.6.2-1 |
0 |
0.00
|
Single Sample directioNAl Pathway Perturbation analYsis |
pekkarr
|
2024-04-06 06:03 (UTC) |
r-standr
|
1.6.0-3 |
0 |
0.00
|
Spatial transcriptome analyses of Nanostring's DSP data in R |
pekkarr
|
2024-04-28 18:44 (UTC) |
r-stargazer
|
5.2.3-4 |
0 |
0.00
|
Well-Formatted Regression and Summary Statistics Tables |
pekkarr
|
2024-04-24 21:13 (UTC) |
r-statial
|
1.4.5-3 |
0 |
0.00
|
A package to identify changes in cell state relative to spatial associations |
pekkarr
|
2024-04-27 04:35 (UTC) |
r-stdeconvolve
|
1.6.0-3 |
0 |
0.00
|
Reference-free Cell-Type Deconvolution of Multi-Cellular Spatially Resolved Transcriptomics Data |
pekkarr
|
2024-04-25 19:22 (UTC) |
r-stexampledata
|
1.10.1-1 |
0 |
0.00
|
Collection of spatially-resolved transcriptomics datasets in SpatialExperiment Bioconductor format |
pekkarr
|
2024-03-20 00:06 (UTC) |