套件:r-bioc-biocneighbors(1.8.2 ds-1)
r-bioc-biocneighbors 的相關連結
Debian 的資源:
下載原始碼套件 r-bioc-biocneighbors:
- [r-bioc-biocneighbors_1.8.2 ds-1.dsc]
- [r-bioc-biocneighbors_1.8.2 ds.orig.tar.xz]
- [r-bioc-biocneighbors_1.8.2 ds-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [bioconductor.org]
相似套件:
Nearest Neighbor Detection for Bioconductor Packages
Implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Exact searches can be performed using the k-means for k-nearest neighbors algorithm or with vantage point trees. Approximate searches can be performed using the Annoy or HNSW libraries. Searching on either Euclidean or Manhattan distances is supported. Parallelization is achieved for all methods by using BiocParallel. Functions are also provided to search for all neighbors within a given distance.
其他與 r-bioc-biocneighbors 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libstdc 6 (>= 5.2)
- GNU Standard C Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實: r-base-core
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- dep: r-api-bioc-3.12
- 本虛擬套件由這些套件填實: r-bioc-biocgenerics
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-biocparallel
- BioConductor facilities for parallel evaluation
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- dep: r-bioc-s4vectors
- BioConductor S4 implementation of vectors and lists
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C Integration
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- dep: r-cran-rcpphnsw
- R bindings for a Library for Approximate Nearest Neighbors
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- rec: r-cran-fnn
- GNU R fast nearest neighbor search algorithms and applications
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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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-rcppannoy
- Rcpp bindings for Annoy (approximate nearest neighbors)
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats