Articolele autorului Vlad Popovici
Link la profilul stiintific al lui Vlad Popovici

Identification of a Poor-Prognosis BRAF-Mutant–Like Population of Patients With Colon Cancer
Rgtsp: a generalized top scoring pairs package for class prediction
The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models
Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
Effect of training sample size and classification difficulty on the accuracy of genomic predictors

Introduction As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by three clinically-relevant endpoints. Methods We used gene expression data from 230 breast cancers (grouped into training and independent validation sets)

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Risk assessment of relapse in Swiss participants of BIG 1-98 with grade 2 early breast cancer by gene expression profiling using RNA from formalin-fixed, paraffin embedded (FFPE) tissue
SCOPES Eastern Europe

The SCOPES programme, which is financed by the Swiss National Science Foundation (SNSF) together with the Swiss Agency for Development and Cooperation (SDC), boosts scientific co-operation between research groups in Switzerland and Eastern Europe as well as supporting institutional partnerships with scientific establishments in the target regions. Please check:

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Selecting control genes for RT-QPCR using public microarray data

BACKGROUND: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several

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Expression Profiling with RNA from Formalin-Fixed, Paraffin-Embedded Material
Extraction of audio features specific to speech in multimodal speaker detection