Integration of omic datasets in biomedical prediction models: statistical challenges 25 de xuño de 2018
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Integration of omic datasets in biomedical prediction models: statistical challenges
Conference
First day focused on the advances related to the diagnosis of diseases.
second day focused on therapies for cancer, neurological or neurodegenerative diseases.
The Symposium brings together more than 200 researchers from Europe and the United States (121 women and 87 men) and comprises a total of 20 papers, ten guest speakers or ten other new researchers, as well as 45 scientific poster sessions.
i18n.one.Series:
II Annual Meeting CINBIO
Mar Rodríguez Girondo
Leiden University Medical Center. The Netherlands
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Metabolomics and lipidomics to improve diagnosis and nutritional therapy in obesity-related diseases
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The use of unnatural MUC1 antigens enable efficient detection of antibodies in patients with cancer
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Integration of omic datasets in biomedical prediction models: statistical challenges
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CTCs-derived xenograft development in a triple negative breast cancer case
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Pharmacological targeting of NMDA receptors and different forms of synaptic plasticity
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Synthesis of complex carbohydrates and potential angiotensin II AT2R ligands
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Selective melanoma treatment using a targeted chemo-photo thermal therapy
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PanDrugs: novel method to prioritize anticancer drug treatments according to individual genomic data
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Generation of human induced pluripotent stem cell lines from patients with hand osteoathritis
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