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R-scellpam rpm build for : OpenSuSE. For other distributions click R-scellpam.

Name : R-scellpam
Version : 1.4.6.2 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp156.1.1 Date : 2024-07-26 11:13:03
Group : Development/Libraries/Other Source RPM : R-scellpam-1.4.6.2-lp156.1.1.src.rpm
Size : 2.27 MB
Packager : https://www_suse_com/
Summary : Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells
Description :
PAM (Partitioning Around Medoids) algorithm application to samples of
single cell sequencing techniques with a high number of cells (as many
as the computer memory allows). The package uses a binary format to
store matrices (either full, sparse or symmetric) in files written in
the disk that can contain any data type (not just double) which allows
its manipulation when memory is sufficient to load them as int or
float, but not as double. The PAM implementation is done in parallel,
using several/all the cores of the machine, if it has them. This
package shares a great part of its code with packages \'jmatrix\' and
\'parallelpam\' but their functionality is included here so there is no
need to install them.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-scellpam-1.4.6.2-lp156.1.1.x86_64.rpm
     

Provides :
R-scellpam
R-scellpam(x86-64)

Requires :
R-Rcpp
R-base
R-memuse
R-scellpam-devel
libR.so()(64bit)
libc.so.6()(64bit)
libc.so.6(GLIBC_2.11)(64bit)
libc.so.6(GLIBC_2.14)(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.33)(64bit)
libc.so.6(GLIBC_2.34)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libgcc_s.so.1()(64bit)
libgcc_s.so.1(GCC_3.0)(64bit)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
libm.so.6(GLIBC_2.29)(64bit)
libstdc++.so.6()(64bit)
libstdc++.so.6(CXXABI_1.3)(64bit)
libstdc++.so.6(CXXABI_1.3.9)(64bit)
libstdc++.so.6(GLIBCXX_3.4)(64bit)
libstdc++.so.6(GLIBCXX_3.4.11)(64bit)
libstdc++.so.6(GLIBCXX_3.4.17)(64bit)
libstdc++.so.6(GLIBCXX_3.4.18)(64bit)
libstdc++.so.6(GLIBCXX_3.4.19)(64bit)
libstdc++.so.6(GLIBCXX_3.4.20)(64bit)
libstdc++.so.6(GLIBCXX_3.4.21)(64bit)
libstdc++.so.6(GLIBCXX_3.4.9)(64bit)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/scellpam
/usr/lib64/R/library/scellpam/CITATION
/usr/lib64/R/library/scellpam/DESCRIPTION
/usr/lib64/R/library/scellpam/INDEX
/usr/lib64/R/library/scellpam/Meta
/usr/lib64/R/library/scellpam/Meta/Rd.rds
/usr/lib64/R/library/scellpam/Meta/features.rds
/usr/lib64/R/library/scellpam/Meta/hsearch.rds
/usr/lib64/R/library/scellpam/Meta/links.rds
/usr/lib64/R/library/scellpam/Meta/nsInfo.rds
/usr/lib64/R/library/scellpam/Meta/package.rds
/usr/lib64/R/library/scellpam/Meta/vignette.rds
/usr/lib64/R/library/scellpam/NAMESPACE
/usr/lib64/R/library/scellpam/NEWS
/usr/lib64/R/library/scellpam/R
/usr/lib64/R/library/scellpam/R/scellpam
/usr/lib64/R/library/scellpam/R/scellpam.rdb
/usr/lib64/R/library/scellpam/R/scellpam.rdx
/usr/lib64/R/library/scellpam/doc
/usr/lib64/R/library/scellpam/doc/index.html
/usr/lib64/R/library/scellpam/doc/jmatrixsc.R
/usr/lib64/R/library/scellpam/doc/jmatrixsc.Rmd
/usr/lib64/R/library/scellpam/doc/jmatrixsc.html
/usr/lib64/R/library/scellpam/doc/parallelpamsc.R
/usr/lib64/R/library/scellpam/doc/parallelpamsc.Rmd
/usr/lib64/R/library/scellpam/doc/parallelpamsc.html
/usr/lib64/R/library/scellpam/doc/scellpam.R
/usr/lib64/R/library/scellpam/doc/scellpam.Rmd
/usr/lib64/R/library/scellpam/doc/scellpam.html
/usr/lib64/R/library/scellpam/help
There is 10 files more in these RPM.

 
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