|
r-segmenter
|
1.10.0-1 |
0 |
0.00
|
Perform Chromatin Segmentation Analysis in R by Calling ChromHMM |
BioArchLinuxBot
|
2024-05-03 04:23 (UTC) |
|
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-sde
|
2.0.18-1 |
0 |
0.00
|
Simulation and Inference for Stochastic Differential Equations |
AlexBocken
|
2024-01-11 20:26 (UTC) |
|
r-sdams
|
1.24.0-1 |
0 |
0.00
|
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data |
BioArchLinuxBot
|
2024-05-02 19:09 (UTC) |
|
r-scuttle
|
1.14.0-1 |
0 |
0.00
|
Single-Cell RNA-Seq Analysis Utilities |
BioArchLinuxBot
|
2024-05-02 21:18 (UTC) |
|
r-sctreeviz
|
1.10.0-1 |
0 |
0.00
|
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations |
BioArchLinuxBot
|
2024-05-03 14:45 (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
|
1.16.0-1 |
0 |
0.00
|
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-01 19:49 (UTC) |
|
r-sctgif
|
1.18.0-1 |
0 |
0.00
|
Cell type annotation for unannotated single-cell RNA-Seq data |
BioArchLinuxBot
|
2024-05-03 12:53 (UTC) |
|
r-sctensor
|
2.14.0-1 |
0 |
0.00
|
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition |
BioArchLinuxBot
|
2024-05-03 14:38 (UTC) |
|
r-scshapes
|
1.10.0-1 |
0 |
0.00
|
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data |
BioArchLinuxBot
|
2024-05-01 19:50 (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-scrnaseq
|
2.18.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2024-05-04 18:38 (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-screcover
|
1.20.0-1 |
0 |
0.00
|
scRecover for imputation of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 23:51 (UTC) |
|
r-screclassify
|
1.10.0-1 |
0 |
0.00
|
scReClassify: post hoc cell type classification of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:28 (UTC) |
|
r-scpca
|
1.18.0-1 |
0 |
0.00
|
Sparse Contrastive Principal Component Analysis |
BioArchLinuxBot
|
2024-05-02 00:48 (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-scope
|
1.16.0-1 |
0 |
0.00
|
A normalization and copy number estimation method for single-cell DNA sequencing |
BioArchLinuxBot
|
2024-05-03 03:23 (UTC) |
|
r-sconify
|
1.24.0-1 |
0 |
0.00
|
A toolkit for performing KNN-based statistics for flow and mass cytometry data |
BioArchLinuxBot
|
2024-05-01 20:20 (UTC) |
|
r-scnorm
|
1.26.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
|
r-scmeth
|
1.24.0-1 |
0 |
0.00
|
Functions to conduct quality control analysis in methylation data |
BioArchLinuxBot
|
2024-05-03 05:34 (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-scmerge
|
1.20.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2024-05-03 04:01 (UTC) |
|
r-scmap
|
1.26.0-1 |
0 |
0.00
|
A tool for unsupervised projection of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:29 (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-sciplot
|
1.2.0-4 |
0 |
0.00
|
Scientific Graphing Functions for Factorial Designs |
BioArchLinuxBot
|
2024-04-05 18:09 (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-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
|
1.16.0-1 |
0 |
0.00
|
single-cell higher order testing |
BioArchLinuxBot
|
2024-05-02 21:27 (UTC) |
|
r-scgps
|
1.18.0-1 |
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
|
2024-05-02 22:18 (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-scfeaturefilter
|
1.24.0-1 |
0 |
0.00
|
A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
|
2024-05-01 20:26 (UTC) |
|
r-scds
|
1.20.0-1 |
0 |
0.00
|
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data |
BioArchLinuxBot
|
2024-05-02 21:36 (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-scde
|
2.32.0-1 |
0 |
0.00
|
Single Cell Differential Expression |
BioArchLinuxBot
|
2024-05-01 22:45 (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-scdd
|
1.28.0-1 |
0 |
0.00
|
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions |
BioArchLinuxBot
|
2024-05-03 01:34 (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-scclassify
|
1.14.0-1 |
0 |
0.00
|
scClassify: single-cell Hierarchical Classification |
BioArchLinuxBot
|
2023-10-28 13:37 (UTC) |
|
r-scclassifr
|
1.2.0-3 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2022-06-07 13:21 (UTC) |
|
r-sccb2
|
1.14.0-1 |
0 |
0.00
|
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-03 01:56 (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-scbn
|
1.22.0-1 |
0 |
0.00
|
A statistical normalization method and differential expression analysis for RNA-seq data between different species |
BioArchLinuxBot
|
2024-05-02 03:14 (UTC) |
|
r-scbfa
|
1.18.0-1 |
0 |
0.00
|
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq |
BioArchLinuxBot
|
2024-05-03 13:39 (UTC) |
|
r-scatedata
|
1.12.0-1 |
0 |
0.00
|
Data for SCATE (Single-cell ATAC-seq Signal Extraction and Enhancement) |
BioArchLinuxBot
|
2024-04-13 18:13 (UTC) |
|
r-scate
|
1.12.0-1 |
0 |
0.00
|
Single-cell ATAC-seq Signal Extraction and Enhancement |
BioArchLinuxBot
|
2024-04-13 18:21 (UTC) |
|
r-scarray
|
1.12.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data manipulation with GDS files |
BioArchLinuxBot
|
2024-05-02 21:20 (UTC) |
|
r-scanvis
|
1.18.0-1 |
0 |
0.00
|
SCANVIS - a tool for SCoring, ANnotating and VISualizing splice junctions |
BioArchLinuxBot
|
2024-05-03 01:00 (UTC) |