Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

Fig. 3

Letter-value plots are showing distribution of the area under the Receiver Operating Characteristic curve (AUROC) calculated on 89 held-out patient. The figures are illustrating the comparison of (a) different models using amino acid sequences, (b) different trimming/padding strategies, (c) models using various sequence-independent features as well as ensemble model combining them, and (d) CNN against different length of CDR3. Barplots (e) shows the coefficients of linear ensemble model

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us