Showing 3 of total 3 results (show query)
sparklyr
sparklyr:R Interface to Apache Spark
R interface to Apache Spark, a fast and general engine for big data processing, see <https://spark.apache.org/>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Maintained by Edgar Ruiz. Last updated 8 days ago.
apache-sparkdistributeddplyridelivymachine-learningremote-clusterssparksparklyr
14.1 match 959 stars 15.16 score 4.0k scripts 21 dependents
cran
notebookutils:Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments
This is a pure dummy interfaces package which mirrors 'MsSparkUtils' APIs <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r> of 'Azure Synapse Analytics' <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users, customer of Azure Synapse can download this package from CRAN for local development.
Maintained by runtimeexp. Last updated 11 months ago.
3.2 match 2.36 score 23 scripts
bioc
HiCBricks:Framework for Storing and Accessing Hi-C Data Through HDF Files
HiCBricks is a library designed for handling large high-resolution Hi-C datasets. Over the years, the Hi-C field has experienced a rapid increase in the size and complexity of datasets. HiCBricks is meant to overcome the challenges related to the analysis of such large datasets within the R environment. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates example algorithms for calling domain boundaries and functions for high quality data visualization.
Maintained by Koustav Pal. Last updated 5 months ago.
dataimportinfrastructuresoftwaretechnologysequencinghic
1.7 match 4.48 score 9 scripts 1 dependents