Key | Value |
---|---|
FileName | ./usr/lib64/R/library/iC10TrainingData/DESCRIPTION |
FileSize | 911 |
MD5 | B55312FAD9CC950AE0240FFAD169C752 |
SHA-1 | 296EFD4FD749F2FADF64ABFB77E2F38D59511006 |
SHA-256 | 6C38C238C9D580B95DE0127F40C406FB1BE21FFDEDE4F58924AF34CCA9A1E547 |
SSDEEP | 24:joa+FE2UcU6ZBqEqUKZtTs4MXvLPr24qzr77LJ:sC2U8vqEDktTsdq405 |
TLSH | T15211EA91969A7B201C931AEF9874D79B361CB204BB8349A8392DC1A042454EB76F716C |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
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 |