Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D00CA326A834B519FAEFBB527854C8A3
PackageArch	x86_64
PackageDescription	Implementation of different statistical tools for the description and analysis of gene expression data based on the concept of data depth, namely, the scale curves for visualizing the dispersion of one or various groups of samples (e.g. types of tumors), a rank test to decide whether two groups of samples come from a single distribution and two methods of supervised classification techniques, the DS and TAD methods. All these techniques are based on the Modified Band Depth, which is a recent notion of depth with a low computational cost, what renders it very appropriate for high dimensional data such as gene expression data.
PackageName	R-depthTools
PackageRelease	lp153.1.2
PackageVersion	0.7
SHA-1	B3D701FE53C456CE697A0703D57434244554ECD5
SHA-256	571C3D55AB06FD1DF2FB14BB0467A71C995CFAF0CE18114485E3D524CBD0C168

Key	Value
MD5	85F81AD3E1EDBE814946CF3545CE2E2D
PackageArch	x86_64
PackageDescription	Implementation of different statistical tools for the description and analysis of gene expression data based on the concept of data depth, namely, the scale curves for visualizing the dispersion of one or various groups of samples (e.g. types of tumors), a rank test to decide whether two groups of samples come from a single distribution and two methods of supervised classification techniques, the DS and TAD methods. All these techniques are based on the Modified Band Depth, which is a recent notion of depth with a low computational cost, what renders it very appropriate for high dimensional data such as gene expression data.
PackageName	R-depthTools
PackageRelease	lp154.1.1
PackageVersion	0.7
SHA-1	A00B93B7034E4BDC9CAFCB1B5DED0B61DABF00F1
SHA-256	7588E2B14A89C3305B75FC182EDBB22C31ED175E11BEB5C759896674F5FDA301

Key	Value
MD5	FED2CF7EA4C4338F04C30DA8D8BA8E00
PackageArch	x86_64
PackageDescription	Implementation of different statistical tools for the description and analysis of gene expression data based on the concept of data depth, namely, the scale curves for visualizing the dispersion of one or various groups of samples (e.g. types of tumors), a rank test to decide whether two groups of samples come from a single distribution and two methods of supervised classification techniques, the DS and TAD methods. All these techniques are based on the Modified Band Depth, which is a recent notion of depth with a low computational cost, what renders it very appropriate for high dimensional data such as gene expression data.
PackageName	R-depthTools
PackageRelease	lp152.1.3
PackageVersion	0.7
SHA-1	43945D0D197DD9308A5A10ABE925A96FE08C3A53
SHA-256	2F8A73775B899C8CC57DF2DA822809C4BBDB710809C56F3A1670C80C91703AD7