All Outputs (2)

Using mRNA secondary structure predictions improves recognition of known yeast functional uORFs (2008)
Book Chapter
Selpi, S., Bryant, C., & Kemp, G. (2008). Using mRNA secondary structure predictions improves recognition of known yeast functional uORFs. In L. Wehenkel, P. Geurts, Y. Moreau, & F. d'Alche-Buc (Eds.), Proceedings of 2nd International Workshop on Machine Learning in Systems Biology (85-94). University of Liege

We are interested in using inductive logic programming ILP)to generate rules for recognising functional upstream open reading frames (uORFs) in the yeast Saccharomyces cerevisiae. This paper empirically investigates whether providing an ILP system wi... Read More about Using mRNA secondary structure predictions improves recognition of known yeast functional uORFs.

L-modified ILP evaluation functions for positive-only biological grammar learning (2008)
Book Chapter
Mamer, T., Bryant, C., & McCall, J. (2008). L-modified ILP evaluation functions for positive-only biological grammar learning. In F. Zelezny, & N. Lavrac (Eds.), Inductive logic programming (176-191). Berlin / Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-540-85928-4_16

We identify a shortcoming of a standard positive-only clause evaluation function within the context of learning biological grammars. To overcome this shortcoming we propose L-modification, a modification to this evaluation function such that the leng... Read More about L-modified ILP evaluation functions for positive-only biological grammar learning.