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Table 1 Summary of time-course gene expression profiles collected from HCV and MS patients

From: Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles

The number of data

HCV data

MS data

Genes

13,513

13,513

Time-points

\({t}_{0}\)(0 day), \({t}_{1}\)(1 day), \({t}_{2}\)(2 days)\({t}_{3}\)(7 days), \({t}_{4}\)(14 days), \({t}_{5}\)(28 days)

\({t}_{0}\)(first), \({t}_{1}\) (second), \({t}_{2}\)(1 month), \({t}_{3}\)(12 months), \({t}_{4}\)(24 months)

Sensitive/not sensitive responders

Sensitive: 36

Not sensitive: 22

Sensitive: 16

Not sensitive: 9

Sensitive/not sensitive responders for stability selection

Sensitive: 28

Not sensitive: 17

Sensitive: 12

Not sensitive: 7

Sensitive/not sensitive responders for k-fold cross-validation

Sensitive: 12

Not sensitive: 7–8

Sensitive: 10–11

Not sensitive: 6

  1. The number of genes of both HCV and MS is 13513, but the types of genes are different from them. In this paper, symbols of time points were presented as “\({t}_{0}\)”, “\({t}_{1}\)”, “\({t}_{2}\)” etc. The number of sensitive/not sensitive responders for the k-fold cross-validation varies by block