Result for 352FD5F2C69ED59B190F6D4483614A6BF1102D76

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/DESCRIPTION
FileSize1201
MD54217E111093841E970B983B3F9EC947D
SHA-1352FD5F2C69ED59B190F6D4483614A6BF1102D76
SHA-256BB900A5E82C2C7D5C997EF5A226A99335D2BD3AF2F463CDEE37347FC8E59A112
SSDEEP24:WKouF2ZZuKE8yAsyBYa09ZauUy83V3kaXPq8GLMDmFzrtJ:hzuPt3z+//3SV3karGLqm5
TLSHT16C21630173B0A770819605933779A72743B8A021B3E30DB97B6EC2A4139883272F33F8
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