Output details
11 - Computer Science and Informatics
University of York
Return to search
Output 0 of 0 in the submission
Article title
Maximum Likelihood Pedigree Reconstruction using Integer Linear Programming
Type
D - Journal article
Title of journal
Genetic Edpidemiology
Article number
-
Volume number
37
Issue number
1
First page of article
69
ISSN of journal
0741-0395
Year of publication
2013
Number of additional authors
3
Additional information
<28>A reviewer’s comment on this cross-disciplinary paper was : “This is the most innovative and interesting paper I’ve seen for a long time. It is also exceptionally well written presenting a clever and complex approach perfectly clearly”. We are currently applying this approach to the reconstruction of song sparrow pedigrees in collaboration with Pirmin Nietlisbach from U. Zurich who visited us for a week. This paper helped Cussens and Sheehan win GBP 20K funding for an ICMS workshop on ”Statistical and computational methods for relatedness and relationship inference from genetic marker data” to be held in Sept 2014.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
G - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
