Result for 761734C8E1C9DCD00208C1CDDF630A909A36AC91

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/Meta/package.rds
FileSize1006
MD55C59ECCD353B5E101AF66CF1D412D4BF
SHA-1761734C8E1C9DCD00208C1CDDF630A909A36AC91
SHA-256B0E8E7B86F2414F450097CA51DE82F627981264C58E95F7ED2356FC17F4B144D
SSDEEP24:X1NOO37SQhS9XhyC7plMsMnqlDjqF+h1+zI2:XP37SQ4XhyC7rMnn4DjnPy
TLSHT1E511CC4B8585D1C2D61500F0E5DE4728AC3A38C36D79DCC530571077D21D1FC4FB9184
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E5CC959F6C49415001F022002ED00593
PackageArchx86_64
PackageDescriptionImplementation 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.
PackageNameR-depthTools
PackageRelease1.17
PackageVersion0.7
SHA-1628F7B698E142C0CA88AF634460DC66C2EA90D0A
SHA-2569DBAA2B6CF949F5E7456101712D7E70A84419FEFA7BB1DA0EF9E38C1462AF767