Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ari Rantanen"'
Publikováno v:
Rousu, J, Rantanen, A, Ketola, R A & Kokkonen, J T 2005, ' Isotopomer distribution computation from tandem mass spectrometric data with overlapping fragment spectra ', Spectroscopy, vol. 19, no. 1, pp. 53-67 . https://doi.org/10.1155/2005/575686
We present a method for determination of the isotopomer distributions of metabolites from the data generated by a tandem mass spectrometer. The method is an improvement over existing method as it is able to deal with overlapping fragments in the spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857ce6756c85a72cc06208952e631fe3
https://doi.org/10.1155/2005/575686
https://doi.org/10.1155/2005/575686
We present a Bayesian framework for estimating the customer lifetime value (CLV) and the customer equity (CE) based on the purchasing behavior deducible from the market surveys on customer purchasing behavior. The proposed framework systematically ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8695298dc5ca9033874fab2398c3f094
http://arxiv.org/pdf/1304.5380
http://arxiv.org/pdf/1304.5380
Autor:
Juha Kokkonen, Raimo A. Ketola, Taneli Mielikäinen, Ari Rantanen, Jari Kiuru, Juho Rousu, Markus Heinonen
Publikováno v:
Heinonen, M, Rantanen, A, Mielikäinen, T, Kokkonen, J, Kiuru, J, Ketola, R A & Rousu, J 2008, ' FiD : A software for ab initio structural identification of product ions from tandem mass spectrometric data ', Rapid Communications in Mass Spectrometry, vol. 22, no. 19, pp. 3043-3052 . https://doi.org/10.1002/rcm.3701
We present FiD (Fragment iDentificator), a software tool for the structural identification of product ions produced with tandem mass spectrometric measurement of low molecular weight organic compounds. Tandem mass spectrometry (MS/MS) has proven to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::314719f957e802d7cf8184bf8ae54261
https://cris.vtt.fi/en/publications/3d2e00b5-782e-4372-8458-55d3c768fa9b
https://cris.vtt.fi/en/publications/3d2e00b5-782e-4372-8458-55d3c768fa9b
Publikováno v:
Transactions on Computational Systems Biology VI ISBN: 9783540457794
Trans. Computational Systems Biology
University of Helsinki
Trans. Computational Systems Biology
University of Helsinki
The most accurate estimates of the activity of metabolic pathways are obtained by conducting isotopomer tracer experiments. The success of this method, however, is intimately dependent on the quality and amount of data on isotopomer distributions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9be843f2b4e0285c489366cb6f235fde
https://doi.org/10.1007/11880646_9
https://doi.org/10.1007/11880646_9
Publikováno v:
Rantanen, A, Mielikäinen, T, Rousu, J, Maaheimo, H & Ukkonen, E 2006, ' Planning optimal measurements of isotopomer distributions for estimation of metabolic fluxes ', Bioinformatics, vol. 22, no. 10, pp. 1198-1206 . https://doi.org/10.1093/bioinformatics/btl069
Motivation: Flux estimation using isotopomer information of metabolites is currently the most reliable method to obtain quantitative estimates of the activity of metabolic pathways. However, the development of isotopomer measurement techniques for in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5208492ccb4d6a092abab9ffb3dfdc45
https://cris.vtt.fi/en/publications/a90aaa70-92ec-4b54-9dc2-251eb898c03a
https://cris.vtt.fi/en/publications/a90aaa70-92ec-4b54-9dc2-251eb898c03a
Publikováno v:
Advances in Informatics ISBN: 9783540296737
Panhellenic Conference on Informatics
Panhellenic Conference on Informatics
Recent small-world studies of the global structure of metabolic networks have been based on the shortest-path distance. In this paper, we propose new distance measures that are based on the structure of feasible metabolic pathways between metabolites
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee4a489211a40b631dc2c9d8fab3635
https://doi.org/10.1007/11573036_12
https://doi.org/10.1007/11573036_12
Publikováno v:
Computational Methods in Systems Biology ISBN: 9783540006053
CMSB
CMSB
Metabolic flux estimation--the problem of finding out the rates of reactions in metabolic pathways--is an important problem area in the study of metabolism. The most accurate technique for this task today is the use of isotopic tracer experiments, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae0d75cc2750fda161ee742b4a24b498
https://doi.org/10.1007/3-540-36481-1_8
https://doi.org/10.1007/3-540-36481-1_8
Publikováno v:
Rousu, J, Flander, L, Suutarinen, M, Autio, K, Kontkanen, P & Rantanen, A 2003, ' Novel computational tools in bakery process data analysis : A comparative study ', Journal of Food Engineering, vol. 57, no. 1, pp. 45-56 . https://doi.org/10.1016/S0260-8774(02)00221-2
We studied the potential of various machine learning and statistical methods in the prediction of product quality in industrial bakery processes. The methods included classification and regression tree, decision list, neural network, support vector m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6742e9ada96fdae2bcdd61febe491417
https://cris.vtt.fi/en/publications/9ff2174c-dcd6-484d-af17-0385d3a3baef
https://cris.vtt.fi/en/publications/9ff2174c-dcd6-484d-af17-0385d3a3baef
Publikováno v:
Rantanen, A, Rousu, J, Kokkonen, J T, Tarkiainen, V & Ketola, R A 2002, ' Computing positional isotopomer distributions from tandem mass spectrometric data ', Metabolic Engineering, vol. 4, no. 4, pp. 285-294 . https://doi.org/10.1006/mben.2002.0232
The isotopomer distributions of metabolites are invaluable pieces of information in the computation of the flux distribution in a metabolic network. We describe the use of tandem mass spectrometry with the daughter ion scanning technique in the disco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401cb7a48789aaa704d1779a9a6c220b
https://cris.vtt.fi/en/publications/9595d6ef-4cb4-4dd7-b871-b93b0b3affc8
https://cris.vtt.fi/en/publications/9595d6ef-4cb4-4dd7-b871-b93b0b3affc8
Publikováno v:
Bioinformatics; May2006, Vol. 22 Issue 10, p1198-1206, 9p