Skip to main content

Table 1 Comparison of the performances of the Capsule-LPI with other deep learning architectures under 10-fold cross-validation

From: Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network

Tools

AUC (%)

AUPRC (%)

Accuracy (%)

Precision (%)

Recall (%)

F-value (%)

FC

\(95.19\pm 0.73\)

\(92.93\pm 1.18\)

\(90.96\pm 0.86\)

\(\mathbf{88}.75 \pm \mathbf{1}.61\)

\(93.87\pm 0.77\)

\(91.22\pm 0.76\)

CNN

\(94.64\pm 0.78\)

\(92.25\pm 1.30\)

\(89.70\pm 1.22\)

\(87.24\pm 1.51\)

\(93.03\pm 1.11\)

\(90.03\pm 1.14\)

LSTM

\(93.26\pm 0.84\)

\(88.66\pm 1.64\)

\(89.70\pm 0.89\)

\(88.13\pm 1.37\)

\(91.82\pm 1.94\)

\(89.91\pm 0.91\)

LncADeep

\(90.55\pm 1.18\)

\(85.33\pm 2.04\)

\(87.73\pm 1.03\)

\(83.89\pm 1.45\)

\(93.45\pm 1.64\)

\(88.39\pm 0.96\)

Capsule-LPI

\(\mathbf{95}.31 \pm \mathbf{0}.41\)

\(\mathbf{93}.30 \pm \mathbf{0}.92\)

\(\mathbf{91}.66 \pm \mathbf{0}.86\)

\(88.15\pm 0.86\)

\(96.25\pm 0.90\)

\(\mathbf{92}.02 \pm \mathbf{0}.82\)

LncADeep (Use LncADeep’s features)

\(89.52\pm 0.84\)

\(84.16\pm 1.60\)

\(87.29\pm 1.04\)

\(83.70\pm 1.69\)

\(92.69\pm 1.81\)

\(87.94\pm 0.97\)

Capsule-LPI (Use LncADeep’s features)

\(95.11\pm 0.50\)

\(93.19\pm 0.65\)

\(91.34\pm 1.01\)

\(87.11\pm 1.48\)

\(\mathbf{97}.08 \pm \mathbf{0}.85\)

\(91.82\pm 0.91\)