Key | Value |
---|---|
FileName | ./usr/lib64/R/library/iC10TrainingData/help/paths.rds |
FileSize | 208 |
MD5 | 4F4315E7916FDD6B1BDD45CFB559C28B |
SHA-1 | 44D5ED62D9610FA9C964A38AA4310D90226131A0 |
SHA-256 | ABFBF872FA2CA1836678780FD00FF93FA9C7A21F0C2E350B5CAE0B34E70EDA6D |
SSDEEP | 6:XtVFDjOJhU7jzvSKxa/XagYAbB/kWzhu3wRIIYnpxQn:XxZ7vvCfa+R43E2on |
TLSH | T130D022089B00A434B3EE0832A792224011C0CBB7AEB16C232830090AE0BA2829D63ADC |
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 |