ondisc: ondisc: A package for out-of-memory computing on single-cell...
In ondisc: Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data
Description
Single-cell datasets are large and are growing in size as sequencing costs drop. The ondisc package is designed to facilitate large-scale computing on single-cell expression data by providing access to expression matrices out-of-memory. ondisc is functional (i.e., all objects are persistent) and efficient (i.e., all algorithms are theoretically optimal in time).
ondisc documentation built on March 5, 2021, 5:07 p.m.
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Description
Single-cell datasets are large and are growing in size as sequencing costs drop. The ondisc package is designed to facilitate large-scale computing on single-cell expression data by providing access to expression matrices out-of-memory. ondisc is functional (i.e., all objects are persistent) and efficient (i.e., all algorithms are theoretically optimal in time).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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