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Vlad Popovici

Researcher at Masaryk University

Publications -  78
Citations -  3635

Vlad Popovici is an academic researcher from Masaryk University. The author has contributed to research in topics: Colorectal cancer & Face detection. The author has an hindex of 23, co-authored 69 publications receiving 3295 citations. Previous affiliations of Vlad Popovici include Geneva College & Swiss Institute of Bioinformatics.

Papers
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Journal ArticleDOI

The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Leming Shi, +201 more
- 01 Aug 2010 - 
TL;DR: P predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans are generated.
Journal ArticleDOI

Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features.

TL;DR: Colorectal carcinoma side is associated with differences in key molecular features, some immediately druggable, with important prognostic effects which are maintained in metastatic lesions, and stratification of patients by side for retrospective and prospective analyses of drug efficacy and prognosis is justified.
Book ChapterDOI

The BANCA database and evaluation protocol

TL;DR: A protocol for evaluating verification algorithms on the BANCA database, a new large, realistic and challenging multi-modal database intended for training and testing multi- modal verification systems, is described.
Journal ArticleDOI

Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer

TL;DR: The proposed subtypes provide a novel perspective on the heterogeneity of CRC and should be further explored retrospectively on existing clinical trial datasets and, when sufficiently robust, be prospectively assessed for clinical relevance in terms of prognosis and treatment response predictive capacity.
Journal ArticleDOI

Identification of a Poor-Prognosis BRAF-Mutant–Like Population of Patients With Colon Cancer

TL;DR: A characteristic pattern of gene expression is associated with and accurately predicts BRAF mutation status and identifies a population of BRAF mutated-like KRAS mutants and double wild-type patients with similarly poor prognosis, suggesting a common biology between these tumors.