Here's an example of what's due today

Heat-map claim

Thu, Nov 19, 2026 · Week 13 · Genetics of Disease (Medical Interventions)

Today's goal: Read a microarray heat map and write a claim that separates disease risk from disease diagnosis.

Learn first

What a finished product looks like

This is a model of the work you should turn in today. Use it to check your own: match the structure and the level of detail, do not copy it. Your data and wording should be your own.

Worked CER on a parallel case
Completes: Parallel worked CER: a shaded results strip for a newborn screening panel and a claim with two numeric values as evidence that separates screening risk from diagnosis. Models the format only. Your own heat-map claim is different.

Note: This is a parallel model on a different case (a newborn metabolic screening panel), not the heat-map task you are doing today. Use it to see the CER format and depth, then build your own claim from your own grid.\n\nI shaded four screening values from a newborn blood-spot panel into a small strip, using a darker color for values above the reference cutoff and a lighter color for values below it.\n\nClaim: The pattern in this sample suggests an elevated risk of phenylketonuria, especially in the raised amino-acid values, but it does not confirm the condition.\n\nEvidence: The phenylalanine level is 6 mg/dL and the phenylalanine-to-tyrosine ratio is 3.5, both above the standard screening cutoffs, which matches the pattern flagged for follow-up in the reference.\n\nWhy this is risk, not diagnosis: A screening panel is designed to catch samples that need a closer look, so an above-cutoff result raises the probability of the condition rather than proving it. Some raised values come from feeding timing, prematurity, or lab handling, so a confirmatory test such as a plasma amino-acid analysis or a genetic test is needed before anyone can say the newborn has the disorder. For that reason my claim names risk and points to follow-up, not a confirmed diagnosis.\n\nFalsifiability check: If a confirmatory plasma amino-acid test came back within the normal range, the risk signal would be explained as a false positive and my claim would be wrong, which shows the claim is testable.

GeneFold changeHeat-map shade
Gene 34.0darkest
Gene 13.2dark
Gene 40.5light
Gene 20.25lightest
Heat-map shading by fold change: Genes 3 and 1 are darkest (most upregulated); Genes 4 and 2 are lightest (downregulated).

Also due today: Submit your heat map and claim to the course shell.

Check yourself

WebXam problem for today's skill

One exam-style question that uses exactly what you practiced today. Try it before you reveal the answer, then read why each choice is right or wrong.

WebXam-style domain: Bio-Molecular TechnologySelf-check skill: Distinguishing disease risk from diagnosis when reading expression data
A patient's microarray shows an expression pattern similar to one seen in a disease. What is the most scientifically accurate claim a student can make from this alone?

Tap an answer to see the full explanation. Nothing is recorded or graded.