r-segmented
|
2.0.4-1 |
0 |
0.00
|
Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) |
BioArchLinuxBot
|
2024-04-19 12:01 (UTC) |
r-sechm
|
1.10.0-1 |
0 |
0.00
|
sechm: Complex Heatmaps from a SummarizedExperiment |
BioArchLinuxBot
|
2023-10-27 06:14 (UTC) |
r-sde
|
2.0.18-1 |
0 |
0.00
|
Simulation and Inference for Stochastic Differential Equations |
AlexBocken
|
2024-01-11 20:26 (UTC) |
r-sdams
|
1.22.0-1 |
0 |
0.00
|
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data |
BioArchLinuxBot
|
2023-10-27 06:22 (UTC) |
r-scvir
|
1.2.0-2 |
0 |
0.00
|
experimental inferface from R to scvi-tools |
pekkarr
|
2023-11-14 00:09 (UTC) |
r-scuttle
|
1.12.0-1 |
0 |
0.00
|
Single-Cell RNA-Seq Analysis Utilities |
BioArchLinuxBot
|
2023-10-27 07:42 (UTC) |
r-sctreeviz
|
1.8.0-1 |
0 |
0.00
|
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations |
BioArchLinuxBot
|
2023-10-31 18:59 (UTC) |
r-sctransform
|
0.4.1-1 |
0 |
0.00
|
Variance Stabilizing Transformations for Single Cell UMI Data |
BioArchLinuxBot
|
2023-10-19 06:01 (UTC) |
r-scthi
|
1.14.0-1 |
0 |
0.00
|
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data |
BioArchLinuxBot
|
2023-10-25 22:17 (UTC) |
r-sctgif
|
1.16.0-1 |
0 |
0.00
|
Cell type annotation for unannotated single-cell RNA-Seq data |
BioArchLinuxBot
|
2023-10-31 19:02 (UTC) |
r-sctensor
|
2.12.0-1 |
0 |
0.00
|
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition |
BioArchLinuxBot
|
2023-11-01 13:03 (UTC) |
r-scshapes
|
1.8.0-1 |
0 |
0.00
|
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data |
BioArchLinuxBot
|
2023-10-25 22:16 (UTC) |
r-scs
|
3.2.4-4 |
0 |
0.00
|
Splitting Conic Solver |
BioArchLinuxBot
|
2024-04-24 21:03 (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-scry
|
1.14.0-1 |
0 |
0.00
|
Small-Count Analysis Methods for High-Dimensional Data |
BioArchLinuxBot
|
2023-10-30 18:24 (UTC) |
r-scruff
|
1.20.0-1 |
0 |
0.00
|
Single Cell RNA-Seq UMI Filtering Facilitator (scruff) |
BioArchLinuxBot
|
2023-10-27 15:29 (UTC) |
r-scrnaseqapp
|
1.2.2-1 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2023-11-11 23:47 (UTC) |
r-scrnaseq
|
2.16.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2023-10-27 11:58 (UTC) |
r-scrime
|
1.3.5-10 |
0 |
0.00
|
Analysis of High-Dimensional Categorical Data Such as SNP Data |
BioArchLinuxBot
|
2024-03-15 14:11 (UTC) |
r-screpertoire
|
1.12.0-1 |
0 |
0.00
|
A toolkit for single-cell immune receptor profiling |
BioArchLinuxBot
|
2023-10-31 18:38 (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-screencounter
|
1.2.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2023-11-10 13:04 (UTC) |
r-screcover
|
1.18.0-1 |
0 |
0.00
|
scRecover for imputation of single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-26 01:20 (UTC) |
r-screclassify
|
1.8.0-1 |
0 |
0.00
|
scReClassify: post hoc cell type classification of single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:06 (UTC) |
r-scran
|
1.30.2-1 |
0 |
0.00
|
Methods for Single-Cell RNA-Seq Data Analysis |
BioArchLinuxBot
|
2024-01-24 00:06 (UTC) |
r-scpipe
|
2.2.0-1 |
0 |
0.00
|
pipeline for single cell RNA-seq data analysis |
BioArchLinuxBot
|
2023-10-27 11:50 (UTC) |
r-scpca
|
1.16.0-1 |
0 |
0.00
|
Sparse Contrastive Principal Component Analysis |
BioArchLinuxBot
|
2023-10-27 07:18 (UTC) |
r-scp
|
1.12.0-1 |
0 |
0.00
|
Mass Spectrometry-Based Single-Cell Proteomics Data Analysis |
BioArchLinuxBot
|
2023-10-28 13:48 (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-scoreinvhap
|
1.24.0-1 |
0 |
0.00
|
Get inversion status in predefined regions |
BioArchLinuxBot
|
2023-10-27 12:48 (UTC) |
r-scope
|
1.14.0-1 |
0 |
0.00
|
A normalization and copy number estimation method for single-cell DNA sequencing |
BioArchLinuxBot
|
2023-10-27 11:31 (UTC) |
r-sconify
|
1.22.0-1 |
0 |
0.00
|
A toolkit for performing KNN-based statistics for flow and mass cytometry data |
BioArchLinuxBot
|
2023-10-26 01:31 (UTC) |
r-scone
|
1.26.0-1 |
0 |
0.00
|
Single Cell Overview of Normalized Expression data |
BioArchLinuxBot
|
2023-10-27 13:46 (UTC) |
r-scnorm
|
1.24.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:09 (UTC) |
r-scmeth
|
1.22.0-1 |
0 |
0.00
|
Functions to conduct quality control analysis in methylation data |
BioArchLinuxBot
|
2023-10-27 14:20 (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-scmerge
|
1.18.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2023-10-30 19:03 (UTC) |
r-scmap
|
1.24.0-1 |
0 |
0.00
|
A tool for unsupervised projection of single cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:02 (UTC) |
r-scmageck
|
1.9.1-4 |
0 |
0.00
|
Identify genes associated with multiple expression phenotypes in single-cell CRISPR screening data |
BioArchLinuxBot
|
2023-04-29 05:01 (UTC) |
r-scisi
|
1.68.0-4 |
0 |
0.00
|
In Silico Interactome |
BioArchLinuxBot
|
2022-11-04 06:34 (UTC) |
r-sciplot
|
1.2.0-4 |
0 |
0.00
|
Scientific Graphing Functions for Factorial Designs |
BioArchLinuxBot
|
2024-04-05 18:09 (UTC) |
r-scifer
|
1.4.0-4 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-04-26 14:57 (UTC) |
r-scider
|
1.0.0-1 |
0 |
0.00
|
Spatial cell-type inter-correlation by density in R |
pekkarr
|
2023-11-28 19:18 (UTC) |
r-scico
|
1.5.0-1 |
0 |
0.00
|
Colour Palettes Based on the Scientific Colour-Maps |
BioArchLinuxBot
|
2023-08-14 18:02 (UTC) |
r-schot
|
1.14.0-1 |
0 |
0.00
|
single-cell higher order testing |
BioArchLinuxBot
|
2023-10-28 12:21 (UTC) |
r-schex
|
1.16.1-1 |
0 |
0.00
|
Hexbin plots for single cell omics data |
BioArchLinuxBot
|
2024-02-02 00:05 (UTC) |
r-scgps
|
1.16.0-3 |
0 |
0.00
|
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation) |
BioArchLinuxBot
|
2024-02-08 12:04 (UTC) |
r-scfeatures
|
1.3.2-1 |
0 |
0.00
|
Multi-view representations of single-cell and spatial data for disease outcome prediction |
pekkarr
|
2024-01-20 12:17 (UTC) |
r-scfeaturefilter
|
1.22.0-1 |
0 |
0.00
|
A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
|
2023-10-25 20:56 (UTC) |
r-scfa
|
1.12.0-1 |
0 |
0.00
|
SCFA: Subtyping via Consensus Factor Analysis |
BioArchLinuxBot
|
2023-10-26 00:03 (UTC) |