Sockeye Salmon Multi-Stress Challenge: Gene Expression and Classifier Data

Fit-Chips gene expression data from a controlled multi-stressor challenge on juvenile sockeye salmon. Fish were exposed to a full factorial design of three temperatures, three salinities, and two dissolved oxygen levels over six days, across smolt and de-smolt stages. Random Forest classifiers developed from the data achieved predictive accuracy between 85.5% and 100% for detecting thermal, hypoxic, and salinity stress signatures.

Use Cases

• Training stressor-specific classifiers based on transcriptional signatures from gill tissue.
• Analyzing gene expression responses to combined thermal, hypoxic, and osmotic stressors.
• Studying recovery dynamics of transcriptional stress signals over time.
• Developing non-lethal monitoring protocols for salmon health using molecular classifiers.

Strengths

• Data originates from a full factorial experimental design with three temperatures, three salinities, and two oxygen levels.
• Classifiers derived from the data achieved high predictive accuracy, reported between 85.5% and 100%.
• Includes analysis across distinct life stages (smolt and de-smolt) and a recovery period.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Fisheries and Oceans Canada

Collection Method

Data generated from a controlled laboratory experiment using the 'Salmon Fit-Chips' microfluidic qPCR tool on gill tissue.

Freshness

Last updated 2026-06-03 15:15:11.309227; freshness should be verified.