Pakket: r-bioc-densvis (1.16.0+dfsg-1 en anderen)
Verwijzigingen voor r-bioc-densvis
Debian bronnen:
Het bronpakket r-bioc-densvis downloaden:
- [r-bioc-densvis_1.16.0+dfsg-1.dsc]
- [r-bioc-densvis_1.16.0+dfsg.orig.tar.xz]
- [r-bioc-densvis_1.16.0+dfsg-1.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [bioconductor.org]
Vergelijkbare pakketten:
Experimenteel pakket
Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.
density-preserving data visualization via non-linear dimensionality reduction
Implements the density-preserving modification to t-SNE and UMAP described by Narayan et al. (2020) <doi:10.1101/2020.05.12.077776>. The non-linear dimensionality reduction techniques t-SNE and UMAP enable users to summarise complex high-dimensional sequencing data such as single cell RNAseq using lower dimensional representations. These lower dimensional representations enable the visualisation of discrete transcriptional states, as well as continuous trajectory (for example, in early development). However, these methods focus on the local neighbourhood structure of the data. In some cases, this results in misleading visualisations, where the density of cells in the low-dimensional embedding does not represent the transcriptional heterogeneity of data in the original high-dimensional space. den-SNE and densMAP aim to enable more accurate visual interpretation of high-dimensional datasets by producing lower-dimensional embeddings that accurately represent the heterogeneity of the original high-dimensional space, enabling the identification of homogeneous and heterogeneous cell states. This accuracy is accomplished by including in the optimisation process a term which considers the local density of points in the original high-dimensional space. This can help to create visualisations that are more representative of heterogeneity in the original high-dimensional space.
Andere aan r-bioc-densvis gerelateerde pakketten
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- dep: libc6 (>= 2.27) [riscv64]
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
- dep: libc6 (>= 2.29) [niet alpha, riscv64]
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- dep: libc6.1 (>= 2.29) [alpha]
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6.1-udeb
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- dep: libgcc-s1 (>= 3.0) [niet alpha, riscv64, sparc64]
- GCC support bibliotheek
- dep: libgcc-s1 (>= 3.4) [alpha, riscv64, sparc64]
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- dep: libgomp1 (>= 4.2.1)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- Pakket niet beschikbaar
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- dep: r-api-bioc-3.19 [alpha]
- Pakket niet beschikbaar
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- dep: r-api-bioc-3.20 [niet alpha]
- virtueel pakket geboden door r-bioc-biocgenerics
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- dep: r-bioc-basilisk [niet alpha]
- freezing Python dependencies inside Bioconductor packages
- dep: r-bioc-basilisk (>= 1.16.0) [alpha]
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- dep: r-cran-assertthat
- GNU R easy pre and post assertions
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- dep: r-cran-irlba
- GNU R fast truncated SVD, PCA and symmetric eigendecomposition
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-reticulate
- R interface to Python modules, classes, and functions
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- dep: r-cran-rtsne
- GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-uwot
- GNU R uniform manifold approximation and projection (UMAP)
r-bioc-densvis downloaden
Platform | Versie | Pakketgrootte | Geïnstalleerde grootte | Bestanden |
---|---|---|---|---|
alpha (unofficial port) | 1.14.0+dfsg-1~0exp1 | 79,5 kB | 215,0 kB | [overzicht] |
amd64 | 1.16.0+dfsg-1 | 82,6 kB | 204,0 kB | [overzicht] |
arm64 | 1.16.0+dfsg-1 | 77,0 kB | 216,0 kB | [overzicht] |
mips64el | 1.16.0+dfsg-1 | 77,4 kB | 224,0 kB | [overzicht] |
ppc64 (unofficial port) | 1.16.0+dfsg-1 | 86,8 kB | 283,0 kB | [overzicht] |
ppc64el | 1.16.0+dfsg-1 | 85,9 kB | 280,0 kB | [overzicht] |
riscv64 | 1.16.0+dfsg-1 | 80,8 kB | 184,0 kB | [overzicht] |
s390x | 1.16.0+dfsg-1 | 85,6 kB | 220,0 kB | [overzicht] |
sparc64 (unofficial port) | 1.16.0+dfsg-1 | 74,8 kB | 1.117,0 kB | [overzicht] |