Drosophila gene expression pattern annotation through multi-instance multi-label learning

Ying Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi Hua Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

The Berkeley Drosophila Genome Project (BDGP) has produced a large number of gene expression patterns, many of which have been annotated textually with anatomical and developmental terms. These terms spatially correspond to local regions of the images; however, they are attached collectively to groups of images, such that it is unknown which term is assigned to which region of which image in the group. This poses a challenge to the development of the computational method to automate the textual description of expression patterns contained in each image. In this paper, we show that the underlying nature of this task matches well with a new machine learning framework,Multi-Instance Multi-Label learning (MIML). We propose a new MIML support vector machine to solve the problems that beset the annotation task. Empirical study shows that the proposed method outperforms the state-of-the-art Drosophila gene expression pattern annotation methods.

Original languageEnglish (US)
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence
Pages1445-1450
Number of pages6
StatePublished - 2009
Event21st International Joint Conference on Artificial Intelligence, IJCAI-09 - Pasadena, CA, United States
Duration: Jul 11 2009Jul 17 2009

Other

Other21st International Joint Conference on Artificial Intelligence, IJCAI-09
CountryUnited States
CityPasadena, CA
Period7/11/097/17/09

Fingerprint

Gene expression
Labels
Computational methods
Support vector machines
Learning systems
Genes

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Li, Y. X., Ji, S., Kumar, S., Ye, J., & Zhou, Z. H. (2009). Drosophila gene expression pattern annotation through multi-instance multi-label learning. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1445-1450)

Drosophila gene expression pattern annotation through multi-instance multi-label learning. / Li, Ying Xin; Ji, Shuiwang; Kumar, Sudhir; Ye, Jieping; Zhou, Zhi Hua.

IJCAI International Joint Conference on Artificial Intelligence. 2009. p. 1445-1450.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, YX, Ji, S, Kumar, S, Ye, J & Zhou, ZH 2009, Drosophila gene expression pattern annotation through multi-instance multi-label learning. in IJCAI International Joint Conference on Artificial Intelligence. pp. 1445-1450, 21st International Joint Conference on Artificial Intelligence, IJCAI-09, Pasadena, CA, United States, 7/11/09.
Li YX, Ji S, Kumar S, Ye J, Zhou ZH. Drosophila gene expression pattern annotation through multi-instance multi-label learning. In IJCAI International Joint Conference on Artificial Intelligence. 2009. p. 1445-1450
Li, Ying Xin ; Ji, Shuiwang ; Kumar, Sudhir ; Ye, Jieping ; Zhou, Zhi Hua. / Drosophila gene expression pattern annotation through multi-instance multi-label learning. IJCAI International Joint Conference on Artificial Intelligence. 2009. pp. 1445-1450
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