Result for 3DF891B15244A5FF465A20AF8C352344EF1B4D42

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/R/depthTools.rdx
FileSize361
MD56A4411AD3F1BAEB84F5C59E6EDCFDACD
SHA-13DF891B15244A5FF465A20AF8C352344EF1B4D42
SHA-256ED6DCD78E1AEA306955316E493EC463B6C44946EE884802D5456837C1A25F28D
SSDEEP6:XtBY9456LEK9BAS4FrpYpY3Ii0IShi9K27CNPkCPBujeVWenz4lE/Vlll:XD569BaFrpYqYuSw827yPB5LnUyHl
TLSHT192E0C06EF469437DC4334D33442AD089544E895C2E7A4781B9835CD8E5AA4E4C7EF108
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53F94963BE9A5993A04FB2EEF810F6135
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
PackageReleaselp153.1.13
PackageVersion0.4
SHA-1715F4BDBE6598355E903CEBBA3E41D237D35D735
SHA-25608F67D321CCEE23D79F9CDE9DD081D7E62932756031DE98A9BB4B60B978DFABB
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
Key Value
MD5FA1F4F8F9644169B891F65B99A7B7E42
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
PackageReleaselp152.1.12
PackageVersion0.4
SHA-1C5DF0C9A651A3AE9EEF0DCD48499406D0EA1DA83
SHA-2562BD054392FC48B1EEF807D17C2522B23EDE6101407D84B2D9BA43D44B5A74548
Key Value
MD5D6D18B89FCE65539D5D2AAE1D3F6217C
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
PackageReleaselp150.1.66
PackageVersion0.4
SHA-18A314E050DC2D1B9E3744A481B992671A9B49156
SHA-2562BF2B4A5BA35CDECE0A260C1485E6C5E8910A885A96D0735CDF37A553202170F