Result for 2ED4DC11D7FEB13A3C559542D3C4488C2199A324

Query result

Key Value
FileName./usr/lib64/R/library/depthTools/help/depthTools.rdb
FileSize24259
MD57B5B4DFFFD5A890C8FC3CDD1D8CF71EC
SHA-12ED4DC11D7FEB13A3C559542D3C4488C2199A324
SHA-256BE34706030CB2CA89503340B890AFF7D1A159AADB2780E0872ABA7FAAD8923DA
SSDEEP384:YCxnRwcN4LKSa8wpstB3MtG5ZbyotNkAv9oDm01SJ6O2az1e:YFcoatStBctG2SFnGSv1zY
TLSHT177B2E0A3F80A4F17972FB6110EBB130FCA5A0F9A4E6AF5279304626775CD470849B7A4
hashlookup:parent-total13
hashlookup:trust100

Network graph view

Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
Key Value
MD573FA823F9C150F6CD0A669BC4834EF0C
PackageArcharmv7hl
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
PackageRelease1.381
PackageVersion0.4
SHA-1E96ABAD8090A842A3E489FEA39D3F06D090C99CC
SHA-256A9C6446624322322F7B33733E51FE90A8302351F55B90803B6D67E8998954D2C
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
MD56BA5BAF87EC803B3901FA7B0540E262B
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
PackageRelease1.6
PackageVersion0.4
SHA-1BA08D568D928AD7C0C1912F52D66C1921D1C1845
SHA-2561C901D3B9ECA725ECB1C79ECF9562733BE69B6D63AAF9B2FEB9EA5F7733D0A3E
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
MD53FAEF2BD34D7DF1AE4F7AD3C4CA00361
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
PackageRelease1.717
PackageVersion0.4
SHA-1E248C514A518E1A0C1E72ADDFA6A01BEA498DAFC
SHA-2566EC7AE8F78F0ABBAC247BA21612EC2433CF09D3CE5E7AB32CB8886BE99E93853
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
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
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
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
MD5B4D58D475CA39CC662ADA4CB876E9D9E
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
PackageRelease1.15
PackageVersion0.4
SHA-1B98B4FBC11FA460DD596A68CE72326FC3DD433D6
SHA-256D6008C7C37F7D00EF72934D65F307E06F12CC6098CC70C4F7E7310F9DCED0368