Result for 5F6E0DF86D8CD261F3EC2A823CED617B90E243E2

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/Meta/package.rds
FileSize990
MD5B1DC6D71DD3CF441F7DDFF9E3C9A8908
SHA-15F6E0DF86D8CD261F3EC2A823CED617B90E243E2
SHA-256A3559D4F7DF3A7E900B11CA17255D411DA910E2233EC79CC67FCA8A6A2BF139F
SSDEEP24:XW2RpeTa3QX74d/K8XSyA70fK7czN17IIxfjGZbU:XW2RkO3QL4dSaLW0fN7IUcbU
TLSHT10F11C413A1A47C084BAFC1F92A53A3B8DAD59C3BC91CAB8514C23375091A2003C32F33
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
MD57DE589500A75A2C584A486AD91D9C05B
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
PackageReleaselp153.1.1
PackageVersion0.7
SHA-110B7DAF58940C76EA6FAD9FB0C9CC7ACA17BD59D
SHA-256453830329F9C3FDEE782D1C88AF676478EF8DFCDB423732BCD501D063D4A9A0B