Result for 296EFD4FD749F2FADF64ABFB77E2F38D59511006

Query result

Key Value
FileName./usr/lib64/R/library/iC10TrainingData/DESCRIPTION
FileSize911
MD5B55312FAD9CC950AE0240FFAD169C752
SHA-1296EFD4FD749F2FADF64ABFB77E2F38D59511006
SHA-2566C38C238C9D580B95DE0127F40C406FB1BE21FFDEDE4F58924AF34CCA9A1E547
SSDEEP24:joa+FE2UcU6ZBqEqUKZtTs4MXvLPr24qzr77LJ:sC2U8vqEDktTsdq405
TLSHT15211EA91969A7B201C931AEF9874D79B361CB204BB8349A8392DC1A042454EB76F716C
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD54810ABA9D794F23A0943D74E81B65F19
PackageArchx86_64
PackageDescriptionTraining 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.
PackageNameR-iC10TrainingData
PackageReleaselp153.2.3
PackageVersion1.3.1
SHA-19061A83577BF296AD637001AD31282C1EBFBD4A1
SHA-256A2EA89229A949F76B0CDC60DA44BFBE9957995043845A73CCEAEABF1229D10CF