This Dataverse contains research data from the Multiple Myeloma Research Laboratory.
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Description.161027.pdf
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
Adobe PDF - 592.9 KB - MD5: d344f6608c8f75542ac1e55b4a396ed0
Documentation
doc_by_val.pdf
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
Adobe PDF - 128.9 KB - MD5: 4864973f006f3acc7088b8595d3bc849
Software
Documentation
docval_1.1.4_gcrma.tar.gz
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
Gzip Archive - 4.3 MB - MD5: 1182fbeba7bc1880b60c135f4c45058a
Software
HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
Oct 28, 2016
Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk, 2016, "HDAMM-predictor: prediction of progression in asymptomatic myeloma patients", https://doi.org/10.11588/data/10092, heiDATA, V1
The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al....
HDAMM_function.R
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
R Syntax - 1.3 KB - MD5: 8838947b9868ab1e0fda1491b07d7eb7
Data
parameter.Rdata
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
R Data - 7.9 MB - MD5: a9b4eed9e761fa17a576384d85675bc1
Data
README
Oct 28, 2016 - HDAMM-predictor: prediction of progression in asymptomatic myeloma patients
Plain Text - 356 B - MD5: e7ee8f67aac4f997bd3e7904971511d9
Software
Documentation
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