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In this paper, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs ...
In this paper, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs much ...
In this paper, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs ...
The present study proposes a method to predict the conformation of protein complexes by using statistically significant domain-domain interactions (DDIs). High- ...
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This review offers a detailed analysis of the literature from 2021 to 2023, highlighting the cutting-edge deep learning methodologies harnessed for PPI ...
Feb 2, 2018 · SUMMARY. Protein-Protein Interaction Extraction (PPIE) from biomed- ical literatures is an important task in biomedical text mining and has.
Lishuang Li, Jieqiong Zheng, Dingxin Song, Rui Guo, Degen Huang: Protein-protein interaction extraction based on actively transfer learning. BIBM 2015: 1717.
Jun 30, 2023 · In this study, we investigate the use of deep transfer learning for the prediction of interactions between drug candidate compounds and understudied target ...
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BactInt: A domain driven transfer learning approach for extracting inter-bacterial associations from biomedical text · Highlights · Abstract · Graphical Abstract.
Mar 13, 2024 · This review presents a comprehensive overview of machine learning and deep learning models that have emerged in recent years for the prediction of peptide– ...