Key | Value |
---|---|
FileName | ./usr/lib64/R/library/iC10TrainingData/Meta/data.rds |
FileSize | 252 |
MD5 | 875A43D712427A9ADE1A60CE710AB28B |
SHA-1 | 64B51177F9FCCF594AD61B8BA45CB9DD02E42871 |
SHA-256 | A2A19DF87C7FAC903798D64C4249C2397F9F7DD6797E32F5E608F3890B32FCAE |
SSDEEP | 6:XtAU17SmE6HxHTlqiecJZj0djoOp1f8xoHrzd0Zpz13xGCrC/:XVEkt81cJVkj9f8uQpz9xGUE |
TLSH | T1DAD095FEC02D001CC441B5B241D03D9B075F853A4D608F62D3C01C7067CA7314DB1509 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
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 |
---|---|
MD5 | 3296D1663EEEB6D1200FA442AEC41414 |
PackageArch | x86_64 |
PackageDescription | Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package. |
PackageName | R-iC10TrainingData |
PackageRelease | 2.22 |
PackageVersion | 1.3.1 |
SHA-1 | 0303E4952A10B0657BBCA88098F46C4D5FB15BE2 |
SHA-256 | 13ECFA3E13CFA200C3945C13435DEC6A0C3CEA5D6AB7DA27B8F2A34981E2D64E |
Key | Value |
---|---|
MD5 | 4810ABA9D794F23A0943D74E81B65F19 |
PackageArch | x86_64 |
PackageDescription | Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package. |
PackageName | R-iC10TrainingData |
PackageRelease | lp153.2.3 |
PackageVersion | 1.3.1 |
SHA-1 | 9061A83577BF296AD637001AD31282C1EBFBD4A1 |
SHA-256 | A2EA89229A949F76B0CDC60DA44BFBE9957995043845A73CCEAEABF1229D10CF |
Key | Value |
---|---|
MD5 | E65120932F448725169F4E72655C66EF |
PackageArch | x86_64 |
PackageDescription | Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package. |
PackageName | R-iC10TrainingData |
PackageRelease | lp152.2.6 |
PackageVersion | 1.3.1 |
SHA-1 | DEB4077480691CCCCAA17C354FA402145CBE40B6 |
SHA-256 | AB879D4F6D13526E06179C2D25406C2CC12AD7E43C5390883E7B9213D51D9483 |
Key | Value |
---|---|
MD5 | 7B56949276ACA743B642079241060E82 |
PackageArch | x86_64 |
PackageDescription | Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package. |
PackageMaintainer | https://www.suse.com/ |
PackageName | R-iC10TrainingData |
PackageRelease | lp154.2.1 |
PackageVersion | 1.3.1 |
SHA-1 | 714117E91B2F052BB1C87EF57EB89173CCE85D3E |
SHA-256 | 4F76E14D867DA543AD9864FAC7E46C3F6A074136F60B4A3B145498EFB62A1E90 |