A New Multi-Task Learning Technique to Predict Classification of Leukemia and Prostate Cancer

By Austin H. Chen, Zone-Wei Huang. 2010

38 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wouter M. Kouw
2. Qian Xu
3. Qiang Yang
4. Yu Zhang
5. Mingsheng Long
6. Jianmin Wang
7. Sinno Jialin Pan
8. B. Liu

In Molecular Biology

1. Qiang Yang
2. Wouter M. Kouw
3. Qian Xu
4. Yu Zhang

Citations in the corpus

• An introduction to domain adaptation and transfer learning (2018, background): “Other examples of domain adaptation and transfer learning in fields that employ machine learning include: in bioinformatics, adaptive approaches have been successful in sequence classification [202,146], gene expression analysis [38,207], and biological network reconstruction [150,115].”
• A Survey of Transfer and Multitask Learning in Bioinformatics (2011, background): “So far, there have only been a few works in this field [40-42] that use transfer learning methods in machine learning.”