Gene classifiers and uses thereof

A non-invasive system for analyzing a sample for differential gene expression, comprising:

• a communication interface that receives data comprising measurements of RNAs over a communication network, the measurements having been obtained from a skin sample using a non-invasive sampling method, and the skin sample having been obtained from a subject suspected of having SCC comprises squamous cell carcinoma in situ (isSCC) or invasive squamous cell carcinoma (ivSCC);
• and
• a computer in communication with the communication interface, wherein the computer comprises one or more computer processors and computer readable medium comprising machine-executable code that, upon execution by the one or more computer processors, implements a method comprising:
• applying a classifier to the measurements to identify the skin sample indicative of the isSCC or ivSCC.

A non-invasive system for analyzing a sample for differential gene expression comprising:

• providing a skin sample from a subject suspected of having one or more skin conditions, wherein the sample was obtained using a non-invasive sampling method;
• enriching RNAs from the skin sample;
• obtaining data comprising measurements from the RNAs;
• determining expression levels for one or more genes from the measurements;
• and
• applying a gene classifier to identify the skin sample comprises the one more skin conditions, wherein the skin disease comprises SCC (squamous cell carcinoma) BCC (basal cell carcinoma), AK (actinic keratosis), or a disease in Table 10.

A non-invasive system for analyzing a sample for differential gene expression, comprising

• a communication interface that receives data comprising measurements of RNAs over a communication network, the measurements having been obtained from a skin sample using a non-invasive sampling method, and the skin sample having been obtained from a subject suspected of having one or more skin conditions;
• and
• a computer in communication with the communication interface, wherein the computer comprises one or more computer processors and computer readable medium comprising machine-executable code that, upon execution by the one or more computer processors, implements a method comprising:
• applying a classifier to the measurements to identify the skin sample indicative of the one or more skin conditions, wherein the skin disease comprises SCC (squamous cell carcinoma) BCC (basal cell carcinoma), AK (actinic keratosis), or a disease in Table 10.