|
r-sparsearray
|
1.4.3-1 |
0 |
0.00
|
High-performance sparse data representation and manipulation in R |
pekkarr
|
2024-05-09 12:02 (UTC) |
|
r-spacetime
|
1.3.1-1 |
0 |
0.00
|
Classes and Methods for Spatio-Temporal Data |
BioArchLinuxBot
|
2023-12-06 00:05 (UTC) |
|
r-soniclength
|
1.4.7-9 |
0 |
0.00
|
Estimating Abundance of Clones from DNA Fragmentation Data |
BioArchLinuxBot
|
2024-03-07 00:04 (UTC) |
|
r-snprelate
|
1.38.0-1 |
0 |
0.00
|
Parallel Computing Toolset for Relatedness and Principal Component Analysis of SNP Data |
BioArchLinuxBot
|
2024-05-01 18:53 (UTC) |
|
r-snphood
|
1.34.0-1 |
0 |
0.00
|
SNPhood: Investigate, quantify and visualise the epigenomic neighbourhood of SNPs using NGS data |
BioArchLinuxBot
|
2024-05-03 08:08 (UTC) |
|
r-snpediar
|
1.30.0-1 |
0 |
0.00
|
Query data from SNPedia |
BioArchLinuxBot
|
2024-05-01 18:07 (UTC) |
|
r-snapcgh
|
1.72.0-1 |
0 |
0.00
|
Segmentation, normalisation and processing of aCGH data |
BioArchLinuxBot
|
2023-10-26 07:48 (UTC) |
|
r-snageedata
|
1.40.0-1 |
0 |
0.00
|
SNAGEE data |
BioArchLinuxBot
|
2024-05-04 00:10 (UTC) |
|
r-smoother
|
1.3-1 |
0 |
0.00
|
Functions Relating to the Smoothing of Numerical Data |
BioArchLinuxBot
|
2024-04-03 06:03 (UTC) |
|
r-smad
|
1.20.0-1 |
0 |
0.00
|
Statistical Modelling of AP-MS Data (SMAD) |
BioArchLinuxBot
|
2024-05-01 20:11 (UTC) |
|
r-slqpcr
|
1.70.0-1 |
0 |
0.00
|
Functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH |
BioArchLinuxBot
|
2024-05-02 03:34 (UTC) |
|
r-slinky
|
1.12.0-5 |
0 |
0.00
|
Putting the fun in LINCS L1000 data analysis |
BioArchLinuxBot
|
2022-06-08 06:03 (UTC) |
|
r-slalom
|
1.26.0-1 |
0 |
0.00
|
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-05-03 12:22 (UTC) |
|
r-sjmisc
|
2.8.10-1 |
0 |
0.00
|
Data and Variable Transformation Functions |
BioArchLinuxBot
|
2024-05-13 18:19 (UTC) |
|
r-sjlabelled
|
1.2.0-3 |
0 |
0.00
|
Labelled Data Utility Functions |
BioArchLinuxBot
|
2022-06-06 15:18 (UTC) |
|
r-sipsic
|
1.4.0-1 |
0 |
0.00
|
Calculate Pathway Scores for Each Cell in scRNA-Seq Data |
pekkarr
|
2024-05-02 21:50 (UTC) |
|
r-singlemoleculefootprinting
|
1.12.0-1 |
0 |
0.00
|
Analysis tools for Single Molecule Footprinting (SMF) data |
BioArchLinuxBot
|
2024-05-04 01:10 (UTC) |
|
r-singlecelltk
|
2.14.0-1 |
0 |
0.00
|
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-05-04 18:42 (UTC) |
|
r-singlecellsignalr
|
1.16.0-1 |
0 |
0.00
|
Cell Signalling Using Single Cell RNAseq Data Analysis |
BioArchLinuxBot
|
2024-05-03 01:37 (UTC) |
|
r-singlecellexperiment
|
1.26.0-1 |
0 |
0.00
|
S4 Classes for Single Cell Data |
BioArchLinuxBot
|
2024-05-02 19:00 (UTC) |
|
r-sincell
|
1.36.0-1 |
0 |
0.00
|
R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 21:24 (UTC) |
|
r-simd
|
1.22.0-1 |
0 |
0.00
|
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site |
BioArchLinuxBot
|
2024-05-01 23:03 (UTC) |
|
r-simat
|
1.36.0-1 |
0 |
0.00
|
GC-SIM-MS data processing and alaysis tool |
BioArchLinuxBot
|
2024-05-01 22:43 (UTC) |
|
r-sim
|
1.74.0-1 |
0 |
0.00
|
Integrated Analysis on two human genomic datasets |
BioArchLinuxBot
|
2024-05-02 02:39 (UTC) |
|
r-signac
|
1.13.0-1 |
0 |
0.00
|
Analysis of Single-Cell Chromatin Data |
pekkarr
|
2024-05-11 11:09 (UTC) |
|
r-sigcheck
|
2.36.0-1 |
0 |
0.00
|
Check a gene signature's prognostic performance against random signatures, known signatures, and permuted data/metadata |
BioArchLinuxBot
|
2024-05-03 13:42 (UTC) |
|
r-sgseq
|
1.38.0-1 |
0 |
0.00
|
Splice event prediction and quantification from RNA-seq data |
BioArchLinuxBot
|
2024-05-03 02:29 (UTC) |
|
r-sfedata
|
1.6.0-1 |
0 |
0.00
|
Example SpatialFeatureExperiment datasets |
pekkarr
|
2024-05-04 18:25 (UTC) |
|
r-seuratobject
|
5.0.2-1 |
0 |
0.00
|
Data Structures for Single Cell Data |
BioArchLinuxBot
|
2024-05-08 18:14 (UTC) |
|
r-sesamedata
|
1.22.0-1 |
0 |
0.00
|
Supporting Data for SeSAMe Package |
BioArchLinuxBot
|
2024-05-03 08:24 (UTC) |
|
r-seqvartools
|
1.42.0-1 |
0 |
0.00
|
Tools for variant data |
BioArchLinuxBot
|
2024-05-02 01:53 (UTC) |
|
r-seqsqc
|
1.26.0-1 |
0 |
0.00
|
A bioconductor package for sample quality check with next generation sequencing data |
BioArchLinuxBot
|
2024-05-02 20:42 (UTC) |
|
r-seqsetvis
|
1.24.0-1 |
0 |
0.00
|
Set Based Visualizations for Next-Gen Sequencing Data |
BioArchLinuxBot
|
2024-05-03 01:06 (UTC) |
|
r-seqminer
|
9.4-1 |
0 |
0.00
|
Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R |
BioArchLinuxBot
|
2024-02-03 18:02 (UTC) |
|
r-seqgsea
|
1.44.0-1 |
0 |
0.00
|
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing |
BioArchLinuxBot
|
2024-05-02 23:07 (UTC) |
|
r-seqcna.annot
|
1.38.0-2 |
0 |
0.00
|
Annotation for the copy number analysis of deep sequencing cancer data with seqCNA |
BioArchLinuxBot
|
2024-03-15 14:10 (UTC) |
|
r-seqcna
|
1.48.0-1 |
0 |
0.00
|
Copy number analysis of high-throughput sequencing cancer data |
BioArchLinuxBot
|
2023-10-25 22:08 (UTC) |
|
r-seqbias
|
1.50.0-1 |
0 |
0.00
|
Estimation of per-position bias in high-throughput sequencing data |
BioArchLinuxBot
|
2023-10-26 02:57 (UTC) |
|
r-seqarray
|
1.44.0-1 |
0 |
0.00
|
Data management of large-scale whole-genome sequence variant calls |
BioArchLinuxBot
|
2024-05-02 00:09 (UTC) |
|
r-seq2pathway.data
|
1.36.0-1 |
0 |
0.00
|
data set for R package seq2pathway |
BioArchLinuxBot
|
2024-05-04 00:14 (UTC) |
|
r-seq2pathway
|
1.36.0-1 |
0 |
0.00
|
a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data |
BioArchLinuxBot
|
2024-05-02 23:16 (UTC) |
|
r-selex
|
1.36.0-1 |
0 |
0.00
|
Functions for analyzing SELEX-seq data |
BioArchLinuxBot
|
2024-05-02 00:28 (UTC) |
|
r-segmentseq
|
2.38.0-1 |
0 |
0.00
|
Methods for identifying small RNA loci from high-throughput sequencing data |
BioArchLinuxBot
|
2024-05-03 01:26 (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-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) |