Deutsche Nationalbibliothek
metadata only
RaspArray and MADApp : System for reproducible microarray imaging and data analysis across research settings / Filip Paskali, Weronika Schary, Michaela Lipp, Johanna Dabernig-Heinz, Johannes Smolle, Trung T. Trinh, Susanna J. Dunachie, Ralf Ehricht, Ivo Steinmetz, Matthias Kohl, Gabriel E. Wagner
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine#976450
- A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias#7002
- Integration of Artificial Intelligence, Machine Learning, and Deep Learning into Clinically Routine Molecular Imaging#10763
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data#7178
- "Role of Artificial Intelligence in Drug Discovery and Development: A New Era in Pharmaceutical Sciences"#30183
Record · ID 1324023
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive