Result for 0EAA777809ABB96C6A35F20D9B3F72581D7F9BB7

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/R/depthTools.rdb
FileSize29028
MD59F73579F0685E9732448A5B17284154E
SHA-10EAA777809ABB96C6A35F20D9B3F72581D7F9BB7
SHA-256C15F0C88AFFE5735E03EDB6AC865D855273BDCBD5AF93B1CED1873515B0EBA5E
SSDEEP768:zqZ3XseGywyyNNjUBnv2p5FncOf/9kYWtf4gkhrDdWN:zqZ3XsZyw3UBQcOfVZrDK
TLSHT1DBD2E112DB77C34E9353F02BD0714558E6A68067EEE9882170D771A2CF55E321EB28AE
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
MD5CF34F9BA464CF8D086EA09A3195DEE9C
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
PackageReleaselp151.1.62
PackageVersion0.4
SHA-169FE313862EF2E3BA2D403A688ED2E0A32E174C9
SHA-25672BDAC95394DAC8ACCCB633C9E625B9431D73E1698899BD564B685871573F9AC