Result for 0BB7F727073EE7316BA68701FE69C514BF77B0C3

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/Meta/package.rds
FileSize1022
MD55F485867E9F8DB2A6A5ECAE759D16896
SHA-10BB7F727073EE7316BA68701FE69C514BF77B0C3
SHA-2567F9CFB1FFA3FAD003F6EAA3883C14413589461C01BC78BB02BA0547EE05FECF3
SSDEEP24:XXNLnAJNTU5+Bs03FI+CamCQQrPi2Non37BcR3+Itl:XXNLnAJNggBsiCamCQQrRorqRuItl
TLSHT19F11A8260CCDAC9ECF04D5F735D5911E7A9FF5C51590F4D4E1359AB2246C0207E4505D
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
MD59E2162BA07B14E0719E1CF0FDC215FDA
PackageArchx86_64
PackageDescriptiondepthTools is a package that implements 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
PackageRelease1.721
PackageVersion0.4
SHA-132AD56F702F1B9147F638F5D5E3691B2A73C5571
SHA-25646A1319104B8EEE2C55DB1C96427AA16E16FFAE143588E1185B900DE523FFB40