Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	7DE589500A75A2C584A486AD91D9C05B
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	lp153.1.1
PackageVersion	0.7
SHA-1	10B7DAF58940C76EA6FAD9FB0C9CC7ACA17BD59D
SHA-256	453830329F9C3FDEE782D1C88AF676478EF8DFCDB423732BCD501D063D4A9A0B

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

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	E5CC959F6C49415001F022002ED00593
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	1.17
PackageVersion	0.7
SHA-1	628F7B698E142C0CA88AF634460DC66C2EA90D0A
SHA-256	9DBAA2B6CF949F5E7456101712D7E70A84419FEFA7BB1DA0EF9E38C1462AF767

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