SIMON: Immune Signatures of Influenza Vaccine Responses

Raw data used to develop SIMON, an automated machine learning system for analyzing immune responses to influenza vaccination. The data was downloaded from Stanford Data Miner and analyzed using the mulset algorithm, as described in a 2019 publication in the Journal of Immunology. The dataset's author is affiliated with Stanford University.

Use Cases

• Training automated ML systems for biomarker discovery based on immune response data.
• Validating the mulset algorithm for high-dimensional biological data analysis.
• Benchmarking new ML methods against the SIMON framework for clinical immunology.

Strengths

• Data is directly linked to a peer-reviewed publication in the Journal of Immunology (2019).
• The dataset was used to develop a named automated ML system (SIMON), suggesting it has been validated for research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Stanford Data Miner

Collection Method

Downloaded as a CSV file, compressed with 7-Zip.