HDAMM-predictor: prediction of progression in asymptomatic myeloma patients

DOI

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. 2013. Gene expression profiles of 259 asymptomatic myeloma patients were used as trainingset.

3.1.1, 3.1.1

2.14, 2.14

Identifier
DOI https://doi.org/10.11588/DATA/10092
Related Identifier IsCitedBy https://doi.org/10.1093/bioinformatics/btt124
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/10092
Provenance
Creator Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk
Publisher heiDATA
Contributor Priv.-Doz. Dr. med. Dr. biol. hom. Dirk Hose, Medizinische Klinik V, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, 49-6221-566140; Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk; heiDATA: Heidelberg Research Data Repository
Publication Year 2016
Funding Reference German Federal Ministry of Education (BMBF) "CAMPSIMM" (01ES1103) ; e:Med research and funding concept "CLIOMMICS" (01ZX1309) ; Deutsche Forschungsgemeinschaft SFB/TRR79 ; Dietmar Hopp Stiftung "Heidelberger Konzept zur Optimierung der Diagnostik und Therapie des Multiplen Myeloms" ; EU (7th EU-framework program) "OverMyR"
Rights info:eu-repo/semantics/closedAccess
OpenAccess false
Contact Priv.-Doz. Dr. med. Dr. biol. hom. Dirk Hose, Medizinische Klinik V, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, 49-6221-566140
Representation
Resource Type Dataset
Format application/pdf; application/x-gzip; type/x-r-syntax; application/x-rlang-transport; text/plain; charset=US-ASCII
Size 607104; 132009; 4458666; 1304; 8243348; 356
Version 1.1
Discipline Life Sciences; Medicine
Spatial Coverage Heidelberg, Germany