Machine Learning of Protein Interactions in Fungal Secretory Pathways.

Autor: Jana Kludas, Mikko Arvas, Sandra Castillo, Tiina Pakula, Merja Oja, Céline Brouard, Jussi Jäntti, Merja Penttilä, Juho Rousu

Publikováno v: PLoS ONE, Vol 11, Iss 7, p e0159302 (2016)

In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objective is to predict prote

Externí odkaz: https://doaj.org/article/ab9f386a2b5e49e0b5883b1c8a567165

Can feature information interaction help for information fusion in multimedia problems?

Autor: Jana Kludas, Stéphane Marchand-Maillet, Eric Bruno

Publikováno v: Multimedia Tools and Applications, Vol. 42, No 1 (2009) pp. 57-71
First International Workshop on Metadata Mining for Image Understanding

This article presents the information-theoretic based feature information interaction, a measure that can describe complex feature dependencies in multivariate settings. According to the theoretical development, feature interactions are more accurate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38253e543377b4412fc65c39b0706a8
http://doc.rero.ch/record/316461/files/11042_2008_Article_251.pdf

Machine learning of protein interactions in fungal secretory pathways

Autor: Merja Oja, Jana Kludas, Sandra Castillo, Juho Rousu, Jussi Jäntti, Tiina Pakula, Mikko Arvas, Merja Penttilä, Céline Brouard

Publikováno v: Kludas, J, Arvas, M, Castillo, S, Pakula, T, Oja, M, Brouard, C, Jäntti, J, Penttilä, M & Rousu, J 2016, ' Machine learning of protein interactions in fungal secretory pathways ', PLoS ONE, vol. 11, no. 7, e0159302 . https://doi.org/10.1371/journal.pone.0159302
PLoS ONE
PLoS ONE, Public Library of Science, 2016, 11, pp.1-20
PLoS ONE, Vol 11, Iss 7, p e0159302 (2016)

International audience; In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855b20fbfa8b5bb078b0c9d0f00d7e6e
https://cris.vtt.fi/en/publications/06e92a7a-30e0-4bb9-8c4f-22db892d5821

Comparative genome-scale reconstruction of gapless metabolic networks for present and ancestral species

Autor: Paula Jouhten, Muhammad Fahad Syed, Jana Kludas, Merja Oja, Juho Rousu, Merja Penttilä, Peter Blomberg, Liisa Holm, Mikko Arvas, Esa Pitkänen, Jian Hou

Publikováno v: PLoS Computational Biology, Vol 10, Iss 2, p e1003465 (2014)
PLoS Computational Biology
Pitkänen, E, Jouhten, P, Hou, J, Syed, M F, Blomberg, P, Kludas, J, Oja, M, Holm, L, Penttilä, M, Rousu, J & Arvas, M 2014, ' Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral Species ', PLoS Computational Biology, vol. 10, no. 2, e1003465 . https://doi.org/10.1371/journal.pcbi.1003465

We introduce a novel computational approach, CoReCo, for comparative metabolic reconstruction and provide genome-scale metabolic network models for 49 important fungal species. Leveraging on the exponential growth in sequenced genome availability, ou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3e4e34480f45b463fe7f94e8133550
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24516375/?tool=EBI

Overview of the WikipediaMM Task at ImageCLEF 2009

Autor: Theodora Tsikrika, Jana Kludas

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642157509
CLEF (Working Notes)

ImageCLEF's wikipediaMM task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a674c4b882cf5b23f7ad1bd620fc1bd4
https://doi.org/10.1007/978-3-642-15751-6_7