ArticleIJCAI : proceedings of the conference2009
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Article in IJCAI : proceedings of the conference, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Joint stage recognition and anatomical annotation of Drosophila gene expression patterns.Bioinformatics (Oxford, England) · 2012Article
- Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval.BMC bioinformatics · 2012Article
- SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.Bioinformatics (Oxford, England) · 2010Article
- Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-Term Interactions.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2009Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
Identifiers
20824158PMC2932460What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.