Abstract
Cancer is a well-known dreadful killer of human being’s health, which has led to countless deaths and misery. Traditional treatment can also affect the normal cells while killing cancer cells. Meanwhile, physical or chemical techniques are costly and inefficient. Fortunately, anticancer peptides are a promising treatment, with specifically targeted, low production cost and other advantages. In order to effectively identify the anticancer peptides, we proposed a stacking heterogeneous ensemble learning model, ACP-SE, for predicting anticancer peptides. More specifically, to fully exploit protein sequence information, we developed an efficient feature representation approach by integrating binary profile feature and conjoint triad feature. Then we use a stacking ensemble strategy to combine the three heterogeneous classifiers and get the final prediction results. It was demonstrated that the proposed ACP-SE remarkably outperformed other comparison methods.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Proceedings |
| Editors | De-Shuang Huang, Kang-Hyun Jo, Zhi-Kai Huang |
| Publisher | Springer Verlag |
| Pages | 313-323 |
| Number of pages | 11 |
| ISBN (Print) | 9783030269685 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 15th International Conference on Intelligent Computing, ICIC 2019 - Nanchang, China Duration: 3 Aug 2019 → 6 Aug 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11644 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 15th International Conference on Intelligent Computing, ICIC 2019 |
|---|---|
| Country/Territory | China |
| City | Nanchang |
| Period | 3/08/19 → 6/08/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Anticancer peptides
- Binary Profile Feature
- Conjoint Triad Feature
- Machine learning
- Stacking ensemble
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