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Output details

11 - Computer Science and Informatics

Manchester Metropolitan University

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Output 15 of 37 in the submission
Article title

Automatically identifying and annotating mouse embryo gene expression patterns

Type
D - Journal article
Title of journal
Bioinformatics
Article number
-
Volume number
27
Issue number
8
First page of article
1101
ISSN of journal
1460-2059
Year of publication
2011
URL
-
Number of additional authors
2
Additional information

<28>Work (funded by EU ADMIRE project, FP7 ICT 215024) describes first attempt to automatically annotate Mouse embryo gene expression patterns (a significantly challenging example of multi-cellular organisation). Goes beyond existing work that focuses on relatively simple organisms (e.g., fruit fly). Experimental results with real mouse embryo images show that our method has better classification performance than other known algorithms. Investigated images originally misclassified by our method, and found several cases where the original annotation was not correct. This shows our method is robust against this kind of noise. Work provided the foundation for our BBSRC AGILE project (BB/K004077/1).

Interdisciplinary
Yes
Cross-referral requested
-
Research group
C - Networks and Distributed Systems
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-