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资源简介:
R package for multiple myeloma prognostic signatures and gene expression based signature index calculation.
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创建时间:
2016-10-19
相关数据集
Table_2_Application of clinical nomograms to predicting overall survival and event-free survival in multiple myeloma patients: Visualization tools for prognostic stratification.PDF
BackgroundThis study aimed to develop reliable nomogram-based predictive models that could guide prognostic stratification and individualized treatments in patients with multiple myeloma (MM). Methods
NIAID Data Ecosystem30
The thrombopoietin/MPL axis is activated in the Gata1 low mouse model of myelofibrosis and is associated with a defective RPS14 signature. The thrombopoietin/MPL axis is activated in the Gata1 low mouse model of myelofibrosis and is associated with a defective RPS14 signature
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem20
Additional file 2 of The importance of censoring in competing risks analysis of the subdistribution hazard
Multiple myeloma data. Survival data from the multiple myeloma example used in this paper, including the donor KIR haplotype, event times and types (0 = censored, 1 = relapse, 2 = transplant-related d
Figshare2017-04-05 更新10
Development of gene expression signatures for identifying novel factors that can overcome age-associated reprogramming barriers
To investigate the molecular features underlying senescence and rejuvenation during aged cell reprogramming and identify novel factors that can overcome age-associated barriers, we compared gene expre
NIAID Data Ecosystem30
Prognostic Significance of Initial Serum Albumin and 24 Hour Daily Protein Excretion before Treatment in Multiple Myeloma
Renal failure is a common morbidity in multiple myeloma (MM). Although proteinuria has been increasingly reported in malignancies, it is not routinely used to refine risk estimates of survival outcome
NIAID Data Ecosystem20



