IFNB_Data: IFNB Gene Time Course Dataset

In lockEF/MultiwayClassification: Linear Classification of Multi-Way Data

Description

Gene expression time-course data from Baranzini et al (2005), for patients with multiple sclerosis after treatment with IFNBeta. Patients are classified as good or bad responders. Gene expression was measured for 76 genes of interest before treatment (baseline) and at 6 follow-up time points over the next two years (3 months, 6 months, 9 months, 12 months, 18 months, 24 months). The original data has been log-normalized and mean-imputed.

Usage

data(IFNB_Data)

Format

• DataArray: Time course array: 53 patients X 7 time points X 76 genes.

• Class: Vector giving patient classification as good or poor responders.

References

Baranzini, S.E, Mousavi, P., Rio, J., et al. (2005). Transcription-based prediction of response to IFNBeta using supervised computational methods. PLoS Biology 3(1), e2.

lockEF/MultiwayClassification documentation built on Dec. 17, 2020, 11:01 a.m.