| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/iC10TrainingData/Meta/package.rds |
| FileSize | 862 |
| MD5 | 59FF264B6FCA8425883658C89CBC1C85 |
| SHA-1 | 051B202DBD229637FE45826F5AA0E226ACF85205 |
| SHA-256 | B8728483A662A8E339155ED14BE7012E4B6A5E6B1F580EDAAA3C17ED5E051E40 |
| SSDEEP | 12:XiJEiBeB0G38ikGIT3NHFkjJSnHeol3ZDl1gFreX7NL4/5QkwOORrQGANhA98n:XieB3np4Yjc5rQeXhoQkNVhAqn |
| TLSH | T1DF11D6E3B0B08268B4C1AC30BD0661B4C1F5A81DDA447041C9829D76AD31D0F3727E2A |
| 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 | 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 |