Result for 0D4891FCE83DC6AFEB0E634053329F4207D7AFB8

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/R/depthTools.rdb
FileSize29022
MD56EA34100E2954ABD45359E668D697117
SHA-10D4891FCE83DC6AFEB0E634053329F4207D7AFB8
SHA-25667D4C38215E7BA500B45538A47AB27E321339C2999142C3924012B71A054F3E7
SSDEEP768:zqj3XseGywyyNNjUBnv2p5FncOf/9kYWtf4gkhrDdWN:zqj3XsZyw3UBQcOfVZrDK
TLSHT116D2E113D777C34E9253E42BC0714598E6968027FAE8887171D775A2CF15E221FB28BE
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
MD56BA5BAF87EC803B3901FA7B0540E262B
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
PackageRelease1.6
PackageVersion0.4
SHA-1BA08D568D928AD7C0C1912F52D66C1921D1C1845
SHA-2561C901D3B9ECA725ECB1C79ECF9562733BE69B6D63AAF9B2FEB9EA5F7733D0A3E