HDAMM-predictor: prediction of progression in asymptomatic myeloma patients (ICPSR doi:10.11588/data/10092)

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Document Description

Citation

Title:

HDAMM-predictor: prediction of progression in asymptomatic myeloma patients

Identification Number:

doi:10.11588/data/10092

Distributor:

heiDATA

Date of Distribution:

2016-10-28

Version:

1

Bibliographic Citation:

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

Study Description

Citation

Title:

HDAMM-predictor: prediction of progression in asymptomatic myeloma patients

Identification Number:

doi:10.11588/data/10092

Authoring Entity:

Rème, Thierry

Emde, Martina

Seckinger, Anja

Hose, Dirk

Producer:

Rème, Thierry

Emde, Martina

Seckinger, Anja

Hose, Dirk

Date of Production:

2016-02

Grant Number:

"CAMPSIMM" (01ES1103)

Grant Number:

"CLIOMMICS" (01ZX1309)

Grant Number:

SFB/TRR79

Grant Number:

"Heidelberger Konzept zur Optimierung der Diagnostik und Therapie des Multiplen Myeloms"

Grant Number:

"OverMyR"

Distributor:

heiDATA

Date of Distribution:

2016-10-28

Study Scope

Keywords:

Medicine, Health and Life Sciences, Multiple myeloma, Risk prediction, Asymptomatic myeloma, Progression, Prognosis

Abstract:

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.

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docval_1.1.4_gcrma.tar.gz

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HDAMM_function.R

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