Package: GenomeScaleEmbeddings 0.0.0.9000

GenomeScaleEmbeddings: Exploring Genome Scale Embeddings Parquet Files

Some explorations of the genomics embedding from the paper "Incorporating LLM Embeddings for Variation Across the Human Genome" <https://arxiv.org/html/2509.20702v1>

Authors:Sounkou Mahamane Toure [aut, cre]

GenomeScaleEmbeddings_0.0.0.9000.tar.gz
GenomeScaleEmbeddings_0.0.0.9000.zip(r-4.7)GenomeScaleEmbeddings_0.0.0.9000.zip(r-4.6)GenomeScaleEmbeddings_0.0.0.9000.zip(r-4.5)
GenomeScaleEmbeddings_0.0.0.9000.tgz(r-4.6-any)GenomeScaleEmbeddings_0.0.0.9000.tgz(r-4.5-any)
GenomeScaleEmbeddings_0.0.0.9000.tar.gz(r-4.7-any)GenomeScaleEmbeddings_0.0.0.9000.tar.gz(r-4.6-any)
GenomeScaleEmbeddings_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GenomeScaleEmbeddings/json (API)

# Install 'GenomeScaleEmbeddings' in R:
install.packages('GenomeScaleEmbeddings', repos = c('https://sounkou-bioinfo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sounkou-bioinfo/genomescaleembeddings/issues

On CRAN:

Conda:

2.00 score 2 scripts 13 exports 51 dependencies

Last updated from:6a7f6dd578. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING135
source / vignettesOK262
linux-release-x86_64WARNING131
macos-release-arm64WARNING84
macos-oldrel-arm64WARNING98
windows-develWARNING84
windows-releaseWARNING78
windows-oldrelWARNING87
wasm-releaseOK187

Exports:attachHoubaBigMatrixCopyParquetToDuckDBcorrelatePCWithPositionDatasetParquetUrlListembeddingSummarygetPcaScoreshoubaPCAinfoSummaryIterateEmbeddingsMatrixBatchesOpenRemoteParquetViewplotPcaDimsplotPCSpatialCorrelationwriteEmbeddingsHoubaFromDuckDB

Dependencies:askpassBHbigmemorybigmemory.sribigPCAcppcachemclicollectionscpp11curlDBIdplyrduckdbduckplyrevaluatefarverfastmapgenericsggplot2gluegtablehighrhoubahttr2isobandjsonliteknitrlabelinglifecyclemagrittrmemoiseopensslpillarpkgconfigR6rappdirsRColorBrewerRcpprlangS7scalessystibbletidyselectutf8uuidvctrsviridisLitewithrxfunyaml