Result for 0303E4952A10B0657BBCA88098F46C4D5FB15BE2

Query result

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
hashlookup:children-total	24
hashlookup:trust	50

Network graph view

Children (Total: 24)

The searched file hash includes 24 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/data/Map.All.rda
FileSize	51885
MD5	B4F9753D75FC63E63B83367A9003FE03
SHA-1	0F9F5026540B7FF46179825A0BD178691F4A9109
SHA-256	F6D14C3A0F78AEAED1B9997FD2C6E79B09D92EB0C0A01FBBA513D00A01AE822E
SSDEEP	1536:+8owqnr8X7xCtArq/BA/D5irVrcRaLty9YW2:+NwlEAG858lLAet
TLSH	T1A233F2E53573079CE2210123D61F8ADF98D3CD6286D9EFCA8641717063ABE4642FB86D

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/html/00Index.html
FileSize	2177
MD5	5B5A335D1AA46BD3391BE8129C3D9726
SHA-1	24202D08E4478790B28CC57AD48BE9C0FE20BB40
SHA-256	13F61502A8E1D368EF65D2FE7F295EE20E8BC1FCED86CBEC4554D858E90971D0
SSDEEP	48:lmIz/pqpL2K4yVPqtHVtHvd6t6stimm2atiQREtiM9S2at4stIHO:1zQQK4yaXPdSf7ySXLyhIHO
TLSH	T166412195A0D3763D818024EC95953D9953C122F0A7935E815B3E78F7AF81FE752312C6

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/data/IntClustMemb.rda
FileSize	3583
MD5	FCB64C8CA2991D66ED317E0544DC5442
SHA-1	28CCDD5905618315ECA158964F7AAD5A96C98858
SHA-256	2BDECA9A3C483635B153A95D6A9CA638ADC6D27FC9DF14A39E684A098DB58861
SSDEEP	96:r9ZvUo2YnFm97Dix5dxuMgfE86h6kVdp3AK3N5+:UqFm9KBxaE8gfb5+
TLSH	T1BB716D89DD25B6E6B034D8E3FA804728845B74DCF1FD9434EA089B6C91575C864E0503

Key	Value
FileName	./usr/lib64/R/library/rstudioapi/Meta/features.rds
FileSize	132
MD5	389DA450250B1DEBB4264BC13344C456
SHA-1	305F72B6C4F049F6134D5CE720950F6BAD2139C7
SHA-256	F06FFEC8D1157B2F29B9A30AAE0D08311F21CEDDB62680A40E98D254B70124DE
SSDEEP	3:FttVFD/EWOjf9haZkLgLX3HLZJcvHRmeX3F4jur4f:XtVFDjOJhhLgLX3Vu0KCYI
TLSH	T1D2C02B04C3536095C0CD013043DC0DD0C42C687893C409592024304420540B00EB2DDC

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/data/Map.Exp.rda
FileSize	51705
MD5	428892B0F9D5C8BBD94EFD4D8C81373A
SHA-1	30D0F452FE0C25D7AC745809D27A2493A131B6E5
SHA-256	755398B279E08E189E5347A25419CB01D1D937885E80AFF0E198882E2AF8FFA6
SSDEEP	1536:iHIeiiKIvnPM/1pAuOw47FQJiIyhvPyI+:iHKiKWPY2wGaiIyhXyP
TLSH	T1863301466051429E530CA51DCC9DEA6438C8633388A0EF3EBA31D34F49A7E5EC7EE85D

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/NAMESPACE
FileSize	125
MD5	A23E17C714B1B550A3F165AFC355D361
SHA-1	346C77CEDFAC17CA50385F5E3161C8701A2BDEA3
SHA-256	8302FBB05787AD4C43095C16CE23F4E9F75B525EE4197029131FC9F1E456C473
SSDEEP	3:SEHk92pAGRVF3vS3trDAKQXdixkkpvRVMR+RE9WeFYBwXkn:SEHRqA9SfAK8diWkCR+PeFYikn
TLSH	T1DDB09B63A5819A612553119713D9A6479D854E7EDD1524C194C91254D1226111834544

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/data/datalist
FileSize	55
MD5	4FF38B96E6810C77C92AA04ED80D07C4
SHA-1	3661A9F9113EB07D4A4A7D59127A6658F3B22C46
SHA-256	72ED3B59F65A9C1035B0174BC9D25F7153FC1013E5CF609E40AFC84DEEC0633F
SSDEEP	3:qsrIHv0voEevZhyhNML+:qsrIHv0voEwf0U+
TLSH	T1D89002151025230CC260B8B94D6081D4D081014010D27CD602056601ECA2E475475680

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

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

Key	Value
FileName	./usr/lib64/R/library/iC10TrainingData/Meta/hsearch.rds
FileSize	490
MD5	779363A28D97FB1BD5A8733812684E86
SHA-1	695E8042DE5867DD1A4771B3A426BB5E4E9791A1
SHA-256	043D55FA8941741D9D1F6A0F991860CE3CAA787374F6D4A36E33805E7985747F
SSDEEP	12:XM5ie41QKSbhxDvunznXVtXrbJFTDnoNz1j7hKhf9g:XXntS9VszlVJ5Dn4ShS
TLSH	T1E5F00E18012B58B4E16A34DDF29AF46A32A26FC4CA604082C4D18F90A06375142AF752