Result for 0FFBF0AFB54FD2CEF556639FEB3C12ED066C10EC

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/help/paths.rds
FileSize210
MD5EE26016260C01508BCFEBDE265CAB758
SHA-10FFBF0AFB54FD2CEF556639FEB3C12ED066C10EC
SHA-256595179CA0EE77306813BEC56126EC2BC739C91FC7BEF82224B4046D058138E6B
SSDEEP6:Xt2bsUUeCoOKsoKSfosJ/loETw1hLRYZEBN+l78:XksNeCoOvoVfosJ/loEE1E2Q78
TLSHT156D0223CA803023BCFCAB0300B8C2028B03A2A30330088A008E833F00880B0B00220E2
hashlookup:parent-total17
hashlookup:trust100

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Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5677DAE4DC0DBC4CF0068AA163977D8A7
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
PackageRelease1.19
PackageVersion0.4
SHA-11E13EC3874F3E3D7F9249552BD6DA0D82DC8E0F5
SHA-256985EECBED381150C1AB5A2D8C5792929C4192C7FA42FB31A63501BFD91A3976B
Key Value
MD59E2162BA07B14E0719E1CF0FDC215FDA
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
PackageRelease1.721
PackageVersion0.4
SHA-132AD56F702F1B9147F638F5D5E3691B2A73C5571
SHA-25646A1319104B8EEE2C55DB1C96427AA16E16FFAE143588E1185B900DE523FFB40
Key Value
MD5FED2CF7EA4C4338F04C30DA8D8BA8E00
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
PackageReleaselp152.1.3
PackageVersion0.7
SHA-143945D0D197DD9308A5A10ABE925A96FE08C3A53
SHA-2562F8A73775B899C8CC57DF2DA822809C4BBDB710809C56F3A1670C80C91703AD7
Key Value
MD5E5CC959F6C49415001F022002ED00593
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
PackageRelease1.17
PackageVersion0.7
SHA-1628F7B698E142C0CA88AF634460DC66C2EA90D0A
SHA-2569DBAA2B6CF949F5E7456101712D7E70A84419FEFA7BB1DA0EF9E38C1462AF767
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
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
MD50B6D49000C42D51193B7A6E41FFE3A51
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
PackageRelease1.26
PackageVersion0.4
SHA-17C6FFDD2354E94C26396F79F1DA4A17655E4F1C2
SHA-256B6DB12F4FB0A814226AC4D740931CA0096541119DC1DA4B0AD9323C39DC1B43D
Key Value
MD56E8073F4F62D0C6D5182F1CFBFF723CA
PackageArchi586
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
PackageRelease1.721
PackageVersion0.4
SHA-1822765FE6332AC6C466848FE8864985B38B53244
SHA-256966A7409299D1B47A62DC1F16DFC0C23C438A81649642FE0EAF64E3966F5FAEF
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
Key Value
MD548EBAACD658EF5B29C2062A2A9CD8D28
PackageArchi586
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
PackageRelease1.717
PackageVersion0.4
SHA-195C16ADF3361F484CCEFFE29277845B35204444F
SHA-2564A7C9D689A472164E574CD7F65EE54D957DDBAF3AD6F28C4843BDE77AC93DD96