Identification and Verification of Novel Biomarkers Involving Rheumatoid Arthritis with Multimachine Learning Algorithms: An In Silicon and In Vivo Study

Figure 7

Identification of two distinctive subtypes in the RA groups. (a) Consensus cluster matrix of RA patients when k turns to 2. (b) The cumulative distribution function curves suggested k2 as the optimal cluster number in RA patients. (c) The relative change in area under the CDF curve. (d) 2D principal component plot by the matrix derived from the four signatures. The blue dots represent C1, and the red dots represent C2. (e) Heatmap illustrating the different expression levels of four biomarkers between C1 and C2. (f) Differences in ESTIMATE score, immune score, and stromal score between C1 and C2. (g) Difference in immune infiltration score between C1 and C2. , , , P-value is too small, close to zero.

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