Marttinen P - Search Results

1

Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories.

Zhang G, Ashrafi RA, Juuti A, Pietilainen K, Marttinen P. Zhang G, et al. Among authors: marttinen p. IEEE J Biomed Health Inform. 2021 Jan;25(1):201-208. doi: 10.1109/JBHI.2020.2987323. Epub 2021 Jan 5. IEEE J Biomed Health Inform. 2021. PMID: 32324579

2

Computational modelling of self-reported dietary carbohydrate intake on glucose concentrations in patients undergoing Roux-en-Y gastric bypass versus one-anastomosis gastric bypass.

Ashrafi RA, Ahola AJ, Rosengård-Bärlund M, Saarinen T, Heinonen S, Juuti A, Marttinen P, Pietiläinen KH. Ashrafi RA, et al. Among authors: marttinen p. Ann Med. 2021 Dec;53(1):1885-1895. doi: 10.1080/07853890.2021.1964035. Ann Med. 2021. PMID: 34714211 Free PMC article. Clinical Trial.

3

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

Sundin I, Peltola T, Micallef L, Afrabandpey H, Soare M, Mamun Majumder M, Daee P, He C, Serim B, Havulinna A, Heckman C, Jacucci G, Marttinen P, Kaski S. Sundin I, et al. Among authors: marttinen p. Bioinformatics. 2018 Jul 1;34(13):i395-i403. doi: 10.1093/bioinformatics/bty257. Bioinformatics. 2018. PMID: 29949984 Free PMC article.

4

Modelling G×E with historical weather information improves genomic prediction in new environments.

Gillberg J, Marttinen P, Mamitsuka H, Kaski S. Gillberg J, et al. Among authors: marttinen p. Bioinformatics. 2019 Oct 15;35(20):4045-4052. doi: 10.1093/bioinformatics/btz197. Bioinformatics. 2019. PMID: 30977782 Free PMC article.

5

Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H. Hiremath S, et al. Among authors: marttinen p. PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021. PLoS One. 2021. PMID: 34914721 Free PMC article.

6

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.

Marttinen P, Pirinen M, Sarin AP, Gillberg J, Kettunen J, Surakka I, Kangas AJ, Soininen P, O'Reilly P, Kaakinen M, Kähönen M, Lehtimäki T, Ala-Korpela M, Raitakari OT, Salomaa V, Järvelin MR, Ripatti S, Kaski S. Marttinen P, et al. Bioinformatics. 2014 Jul 15;30(14):2026-34. doi: 10.1093/bioinformatics/btu140. Epub 2014 Mar 24. Bioinformatics. 2014. PMID: 24665129 Free PMC article.

7

Genome-wide association studies with high-dimensional phenotypes.

Marttinen P, Gillberg J, Havulinna A, Corander J, Kaski S. Marttinen P, et al. Stat Appl Genet Mol Biol. 2013 Aug;12(4):413-31. doi: 10.1515/sagmb-2012-0032. Stat Appl Genet Mol Biol. 2013. PMID: 23759510

8

Bayesian variable selection in searching for additive and dominant effects in genome-wide data.

Peltola T, Marttinen P, Jula A, Salomaa V, Perola M, Vehtari A. Peltola T, et al. Among authors: marttinen p. PLoS One. 2012;7(1):e29115. doi: 10.1371/journal.pone.0029115. Epub 2012 Jan 3. PLoS One. 2012. PMID: 22235263 Free PMC article.

9

Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysis.

Peltola T, Marttinen P, Vehtari A. Peltola T, et al. Among authors: marttinen p. PLoS One. 2012;7(11):e49445. doi: 10.1371/journal.pone.0049445. Epub 2012 Nov 15. PLoS One. 2012. PMID: 23166669 Free PMC article.

10

biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.

Pirinen M, Benner C, Marttinen P, Järvelin MR, Rivas MA, Ripatti S. Pirinen M, et al. Among authors: marttinen p. Bioinformatics. 2017 Aug 1;33(15):2405-2407. doi: 10.1093/bioinformatics/btx166. Bioinformatics. 2017. PMID: 28369165 Free PMC article.

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