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Selecting a research area related to Discovery Statistical and Mathematical Modeling will help us support your request.
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Translational Biomarker Discovery
An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
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Translational Machine Learning/AI
Complex analytical approaches to find patterns and make predictions in drug discovery projects.
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Translational Data Analysis
Analysis that helps you make sense of your translational data
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Translational Data Science and Modeling
A process that helps make sense of your translational data
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Translational Bioinformatics
Different analytical approaches that make, store, and analyze complex biological data.
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Translational In Silico Genomics/Transcriptomics Data Analysis
A process that helps make sense of your omics data
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Translational Omics Analytics
A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment of a drug discovery project.
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Translational Software tools
Software designed to serve the needs of translational research groups.
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Translational Data Harmonization and Integration
Process to combine different data together for better understanding and analysis of the integrated data.
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Translational Data Knowledge Extraction
Analytical approaches to extract data from different sources like publications, databases, etc.
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