Result for 2425001AC391FC7941F1C3466D6E494AB7B2F636

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/DESCRIPTION
FileSize1182
MD577B977277B4CDFDDB572DEAA228381A8
SHA-12425001AC391FC7941F1C3466D6E494AB7B2F636
SHA-2568BA2896F7E7E513F1C27912DDED39652C9721FD588D2C48215F5114776F4740B
SSDEEP24:WK2uF2ZZuKE8yAsUemc0nmXEOFf3uaXUYHGTSD7nXprHM0J:hxuPt3/PnZEf3uaNHGTgbOk
TLSHT19F21660127B1A731519244932B2873AB43745509B6930C61B96FC1681749932ABF37F4
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
MD5D00CA326A834B519FAEFBB527854C8A3
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
PackageReleaselp153.1.2
PackageVersion0.7
SHA-1B3D701FE53C456CE697A0703D57434244554ECD5
SHA-256571C3D55AB06FD1DF2FB14BB0467A71C995CFAF0CE18114485E3D524CBD0C168