Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences

Table 1

Protein distribution of different structural classes among four protein data sets.

Data set	All-α	All-β			Total
25PDB	443	443	346	441	1673
D640	138	154	177	171	640
FC699	130	269	377	82	858
1189	223	294	334	241	1092