LRSSL specifications

Unique identifier:
OMICS_17005
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Stability:
Stable
Name:
Laplacian regularized sparse subspace learning
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes

versioning

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No versioning.

LRSSL distribution

download

LRSSL support

Documentation

Maintainer

  • Zhuchu Chen <>

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Publications

Institution(s)

Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, XiangYa Hospital, Central South University, ChangSha, HuNan, China

Funding source(s)

Supported by Key Projects of Hunan Province [2015SK2037], National Natural Science Foundation of China[No.81372516] and Natural Science Foundation of Hunan Province[No.2016JJ5013].

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