BMC Bioinformatics

Table 5 Comparison between multi-task learning and single task learning for siRNA efficacy prediction.

From: Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study

Test 3	RMSE
	Single task learning					Multi-task learning
	10%	30%	50%	70%	90%	10%	30%	50%	70%	90%
E1	28.3515	24.1538	23.5544	22.8080	23.4952	27.6417	24.0150	23.5313	22.7155	23.4194
E2	28.1353	24.7949	23.0751	21.6717	20.5756	25.4531	22.0457	21.1488	20.6969	20.5423
E3	14.1021	12.7868	12.8477	12.8390	11.2925	12.4403	11.5239	11.2708	11.0255	10.0032
E4	36.7345	32.4953	30.2501	28.5389	25.5934	31.6222	27.8789	27.9831	27.5373	27.2947
E5	37.7847	31.7246	27.8395	27.2221	32.1410	37.6029	27.5771	24.0499	23.5798	24.7571
E6	37.9884	36.6409	32.8025	31.0090	27.0574	34.9948	31.9597	30.0650	28.7117	24.6019
E7	46.1408	40.6899	32.9677	34.0303	29.4516	45.3279	34.8915	30.3053	29.9185	27.0738
E8	29.4008	27.4798	26.5710	24.8380	26.7436	26.5423	24.6162	24.4261	23.7297	24.9686
E9	31.9814	15.5796	13.6068	13.8639	12.2373	35.7421	19.8070	17.2665	16.2435	13.3189
E10	56.8917	19.3907	13.4394	12.8776	11.4408	56.8917	19.1463	12.9610	12.2792	11.2242
E11	40.4318	37.2323	36.9945	34.1775	32.1200	38.9771	31.7360	31.0361	29.2156	28.6740
E12	30.7272	29.4070	33.6679	35.2603	24.8004	29.4405	24.4063	24.4616	24.8690	22.1497
E13	18.8997	18.0514	17.3333	14.1208	13.5105	18.8997	17.5524	16.4534	13.1908	10.9338
E14	34.8579	33.0815	28.7044	25.9012	25.7859	30.0917	27.8195	25.3132	24.3546	24.6832

"E" denotes "Experiment". Test 3: Comparison between multi-task learning and single task learning for siRNA efficacy prediction, both trained with 10%, 30%, 50%, 70% and 90% of the data from each experiment, respectively. p-values calculated by pair t-test on multi-task learning and single task learning with different percentages of training data: 0.0268(10%); 0.0046(30%); 0.0093(50%); 0.0151(70%); 0.0389(90%).

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com