GitHub organization
Agent skills by bioMate-AI, page 3
Skills by bioMate-AI, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | SpatialDE is a method to find spatially variable genes (SVG) from spatial transcriptomics data. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 98 | The analysis and visualization of alternative splicing (AS) events from RNA sequencing data remains challenging. | bioMate-AI/ | 804 | — | ~2.1k | Automated safety check: Pass | Unknown | 3 mo ago |
| 99 | SpotClean is a computational method to adjust for spot swapping in spatial transcriptomics data. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 100 | Spatially-aware quality control (QC) software for both spot-level and artifact-level QC in spot-based spatial transcripomics, such as 10x Visium. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 101 | standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. | bioMate-AI/ | 804 | — | ~1.3k | Automated safety check: Pass | Unknown | 3 mo ago |
| 102 | Statial is a suite of functions for identifying changes in cell state. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 103 | Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 104 | syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 105 | Offers functions for plotting split (or implicit) networks (unrooted, undirected) and explicit networks (rooted, directed) with reticulations extending. | bioMate-AI/ | 804 | — | ~1.1k | Automated safety check: Pass | Unknown | 3 mo ago |
| 106 | A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 107 | This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. | bioMate-AI/ | 804 | — | ~1.8k | Automated safety check: Pass | Unknown | 3 mo ago |
| 108 | Variance-stabilizing transformations help with the analysis of heteroskedastic data (i.e., data where the variance is not constant, like count data). | bioMate-AI/ | 804 | — | ~1.3k | Automated safety check: Pass | Unknown | 3 mo ago |
| 109 | treekoR is a novel framework that aims to utilise the hierarchical nature of single cell cytometry data to find robust and interpretable associations between cell subsets and patient clinical end… | bioMate-AI/ | 804 | — | ~1.5k | Automated safety check: Pass | Unknown | 3 mo ago |
| 110 | This package enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches. | bioMate-AI/ | 804 | — | ~1.4k | Automated safety check: Pass | Unknown | 3 mo ago |
| 111 | SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. | bioMate-AI/ | 804 | — | ~1.6k | Automated safety check: Pass | Unknown | 3 mo ago |
| 112 | Zenith performs gene set analysis on the result of differential expression using linear (mixed) modeling with dream by considering the correlation between gene expression traits. | bioMate-AI/ | 804 | — | ~1.1k | Automated safety check: Pass | Unknown | 3 mo ago |
