python-datasets
|
2.19.1-1 |
3 |
0.87
|
The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools |
daskol
|
2024-05-06 12:29 (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-celldex
|
1.14.0-1 |
0 |
0.00
|
Index of Reference Cell Type Datasets |
BioArchLinuxBot
|
2024-05-04 18:37 (UTC) |
r-sfedata
|
1.6.0-1 |
0 |
0.00
|
Example SpatialFeatureExperiment datasets |
pekkarr
|
2024-05-04 18:25 (UTC) |
r-nullrangesdata
|
1.10.0-1 |
0 |
0.00
|
ExperimentHub datasets for the nullranges package |
pekkarr
|
2024-05-04 01:02 (UTC) |
r-keggandmetacoredzpathwaysgeo
|
1.24.0-1 |
0 |
0.00
|
Disease Datasets from GEO |
BioArchLinuxBot
|
2024-05-04 00:49 (UTC) |
r-keggdzpathwaysgeo
|
1.42.0-1 |
0 |
0.00
|
KEGG Disease Datasets from GEO |
BioArchLinuxBot
|
2024-05-04 00:43 (UTC) |
r-breastcancervdx
|
1.42.0-1 |
0 |
0.00
|
Gene expression datasets published by Wang et al. [2005] and Minn et al. [2007] (VDX) |
BioArchLinuxBot
|
2024-05-04 00:26 (UTC) |
ncbi-datasets-cli
|
16.14.0-1 |
0 |
0.00
|
An experimental resource for finding and building datasets across NCBI databases |
hottea
|
2024-05-03 20:53 (UTC) |
python-evaluate
|
0.4.2-1 |
1 |
0.00
|
HuggigFace library for easily evaluating machine learning models and datasets |
daskol
|
2024-05-03 19:04 (UTC) |
r-gars
|
1.24.0-1 |
0 |
0.00
|
GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets |
BioArchLinuxBot
|
2024-05-03 15:00 (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-dreamlet
|
1.2.0-1 |
0 |
0.00
|
Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs |
pekkarr
|
2024-05-03 14:42 (UTC) |
r-stexampledata
|
1.11.1-1 |
0 |
0.00
|
Collection of spatially-resolved transcriptomics datasets in SpatialExperiment Bioconductor format |
pekkarr
|
2024-05-03 08:56 (UTC) |
r-sbgnview.data
|
1.18.0-1 |
0 |
0.00
|
Supporting datasets for SBGNview package |
BioArchLinuxBot
|
2024-05-03 07:57 (UTC) |
r-fccac
|
1.30.0-1 |
0 |
0.00
|
functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets |
BioArchLinuxBot
|
2024-05-03 05:17 (UTC) |
r-chipcomp
|
1.34.0-1 |
0 |
0.00
|
Quantitative comparison of multiple ChIP-seq datasets |
BioArchLinuxBot
|
2024-05-03 03:27 (UTC) |
r-chromscape
|
1.14.0-1 |
0 |
0.00
|
Analysis of single-cell epigenomics datasets with a Shiny App |
BioArchLinuxBot
|
2024-05-03 02:00 (UTC) |
r-pram
|
1.20.0-1 |
0 |
0.00
|
Pooling RNA-seq datasets for assembling transcript models |
BioArchLinuxBot
|
2024-05-03 01:01 (UTC) |
r-lipidr
|
2.18.0-1 |
0 |
0.00
|
Data Mining and Analysis of Lipidomics Datasets |
BioArchLinuxBot
|
2024-05-03 00:32 (UTC) |
r-multihiccompare
|
1.22.0-1 |
0 |
0.00
|
Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available |
BioArchLinuxBot
|
2024-05-03 00:24 (UTC) |
r-omicade4
|
1.44.0-1 |
0 |
0.00
|
Multiple co-inertia analysis of omics datasets |
BioArchLinuxBot
|
2024-05-02 22:51 (UTC) |
r-omicplotr
|
1.24.0-1 |
0 |
0.00
|
Visual Exploration of Omic Datasets Using a Shiny App |
BioArchLinuxBot
|
2024-05-02 22:48 (UTC) |
r-hiccompare
|
1.26.0-1 |
0 |
0.00
|
HiCcompare: Joint normalization and comparative analysis of multiple Hi-C datasets |
BioArchLinuxBot
|
2024-05-02 22:41 (UTC) |
r-fusesom
|
1.6.0-1 |
0 |
0.00
|
A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets |
pekkarr
|
2024-05-02 20:06 (UTC) |
r-pmp
|
1.16.0-1 |
0 |
0.00
|
Peak Matrix Processing and signal batch correction for metabolomics datasets |
BioArchLinuxBot
|
2024-05-02 19:14 (UTC) |
r-expressionatlas
|
1.32.0-1 |
0 |
0.00
|
Download datasets from EMBL-EBI Expression Atlas |
BioArchLinuxBot
|
2024-05-02 19:01 (UTC) |
python-torchvision-rocm-bin
|
0.18.0-3 |
0 |
0.00
|
Datasets, transforms, and models specific to computer vision (binary release) |
trougnouf
|
2024-05-02 14:09 (UTC) |
r-plgem
|
1.76.0-1 |
0 |
0.00
|
Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM) |
BioArchLinuxBot
|
2024-05-02 12:24 (UTC) |
python-griddataformats
|
1.0.2-1 |
2 |
0.00
|
The gridDataFormats package provides classes to unify reading and writing n-dimensional datasets. One can read grid data from files, make them available as a Grid object, and allows one to write out the data again. |
hseara
|
2024-05-02 10:17 (UTC) |
r-dupradar
|
1.34.0-1 |
0 |
0.00
|
Assessment of duplication rates in RNA-Seq datasets |
BioArchLinuxBot
|
2024-05-02 05:14 (UTC) |
r-iaseq
|
1.48.0-1 |
0 |
0.00
|
integrating multiple sequencing datasets for detecting allele-specific events |
BioArchLinuxBot
|
2024-05-02 04:18 (UTC) |
r-adductomicsr
|
1.20.0-1 |
0 |
0.00
|
Processing of adductomic mass spectral datasets |
BioArchLinuxBot
|
2024-05-02 03:00 (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-abseqr
|
1.22.0-1 |
0 |
0.00
|
Reporting and data analysis functionalities for Rep-Seq datasets of antibody libraries |
BioArchLinuxBot
|
2024-05-01 23:27 (UTC) |
r-harman
|
1.32.0-1 |
0 |
0.00
|
The removal of batch effects from datasets using a PCA and constrained optimisation based technique |
BioArchLinuxBot
|
2024-05-01 19:02 (UTC) |
python-imblearn
|
0.12.2-2 |
1 |
0.00
|
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning |
lucaswerkmeister
|
2024-04-29 00:25 (UTC) |
r-macarron
|
1.6.0-3 |
0 |
0.00
|
Prioritization of potentially bioactive metabolic features from epidemiological and environmental metabolomics datasets |
pekkarr
|
2024-04-27 07:16 (UTC) |
r-faraway
|
1.0.8-3 |
0 |
0.00
|
Functions and Datasets for Books by Julian Faraway |
pekkarr
|
2024-04-25 09:44 (UTC) |
r-brisc
|
1.0.5-3 |
0 |
0.00
|
Fast Inference for Large Spatial Datasets using BRISC |
pekkarr
|
2024-04-25 09:04 (UTC) |
r-spdata
|
2.3.0-3 |
0 |
0.00
|
Datasets for Spatial Analysis |
pekkarr
|
2024-04-25 00:25 (UTC) |
r-canvasxpress.data
|
1.34.2-3 |
0 |
0.00
|
Datasets for the 'canvasXpress' Package |
pekkarr
|
2024-04-24 23:01 (UTC) |
r-rlab
|
4.0-7 |
0 |
0.00
|
Functions and Datasets Required for ST370 Class |
BioArchLinuxBot
|
2024-04-24 21:10 (UTC) |
torchvision-rocm
|
0.17.2-1 |
5 |
1.49
|
Datasets, transforms, and models specific to computer vision (C++ library only, with ROCM support) |
wuxxin
|
2024-04-24 20:53 (UTC) |
python-torchvision-rocm
|
0.17.2-1 |
5 |
1.49
|
Datasets, transforms, and models specific to computer vision (with ROCM support) |
wuxxin
|
2024-04-24 20:53 (UTC) |
r-spatstat.data
|
3.0.4-2 |
0 |
0.00
|
Datasets for 'spatstat' Family |
BioArchLinuxBot
|
2024-04-14 12:05 (UTC) |
r-mirmine
|
1.24.0-1 |
0 |
0.00
|
Data package with miRNA-seq datasets from miRmine database as RangedSummarizedExperiment |
BioArchLinuxBot
|
2024-04-13 18:03 (UTC) |
r-metadat
|
1.2.0-4 |
0 |
0.00
|
Meta-Analysis Datasets |
BioArchLinuxBot
|
2024-04-12 12:09 (UTC) |
python-unimpeded
|
0.2.3-1 |
0 |
0.00
|
Universal model comparison & parameter estimation over diverse datasets |
wjhandley
|
2024-04-09 19:52 (UTC) |
r-splitstackshape
|
1.4.8-7 |
0 |
0.00
|
Stack and Reshape Datasets After Splitting Concatenated Values |
BioArchLinuxBot
|
2024-04-07 12:07 (UTC) |