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BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
BMCBI
2008
228views more  BMCBI 2008»
15 years 4 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
ELPUB
2007
ACM
15 years 8 months ago
Evaluating Digital Humanities Resources: The LAIRAH Project Checklist and the Internet Shakespeare Editions Project
The following paper presents a case study of the way that the research done by the LAIRAH project may be applied in the case of a real digital resource for humanities scholarship....
Claire Warwick, Melissa Terras, Isabel Galina, Pau...
CIKM
2008
Springer
15 years 6 months ago
How should users access the content of digital books?
I report briefly on some of my own work in each of these areas and elucidate some of the questions that this research has raised. Then I propose as a research agenda the developme...
Nina Wacholder
OTM
2009
Springer
15 years 10 months ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...