Mgr. Eva Budinská, Ph.D.
Head, Integrative Bioinformatics and Biostatistics
Correspondence Address:
Kotlářská 267/2, 611 37 Brno
Office: bldg. D30/206
Kamenice 34
625 00 Brno
Phone: | +420 549 49 3993 |
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E‑mail: |
social and academic networks: |
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Total number of publications: 142
2015
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Combined Proteomics and Transcriptomics Identifies Carboxypeptidase B1 and Nuclear Factor kappa B (NF-kappa B) Associated Proteins as Putative Biomarkers of Metastasis in Low Grade Breast Cancer
MOLECULAR & CELLULAR PROTEOMICS, year: 2015, volume: 14, edition: 7, DOI
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Establishment and characterization of models of chemotherapy resistance in colorectal cancer: Towards a predictive signature of chemoresistance
Molecular oncology, year: 2015, volume: 9, edition: 6, DOI
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IGF2 is an actionable target that identifies a distinct subpopulation of colorectal cancer patients with marginal response to anti-EGFR therapies
SCIENCE TRANSLATIONAL MEDICINE, year: 2015, volume: 7, edition: 272, DOI
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ToPASeq: an R package for topology-based pathway analysis of microarray and RNA-Seq data
BMC Bioinformatics, year: 2015, volume: 16, edition: 350, DOI
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TopKLists: a comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, year: 2015, volume: 14, edition: 3, DOI
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Vyhledávání a validace potenciálních biomarkerů metastazování u nádorů prsu typu luminal A
Year: 2015, type: Conference abstract
2014
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A novel panel of proteins correlating with lymph node metastasis of low-grade breast cancer as identified by combined proteomics and transcriptomics approach
Year: 2014, type: Conference abstract
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Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease
Disease models & mechanisms, year: 2014, volume: 7, edition: 6, DOI
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Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features
Annals of Oncology, year: 2014, volume: 25, edition: 10, DOI
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Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Cancer Discovery, year: 2014, volume: 4, edition: 9, DOI