Hegele LA, Scagliarini A, Sbragaglia M, Mattila KK, Philippi PC, Puleri DF et al.
High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method.
Physical Review E. 2018 loka 4;98(4). 043302.
https://doi.org/10.1103/PhysRevE.98.043302 Kartasalo K, Latonen L
, Vihinen J, Visakorpi T, Nykter M
, Ruusuvuori P.
Comparative analysis of tissue reconstruction algorithms for 3D histology.
Bioinformatics. 2018 syys 1;34(17):3013-3021.
https://doi.org/10.1093/bioinformatics/bty210 Alberucci A, Laudyn UA, Piccardi A, Kwasny M, Klus B, Karpierz MA et al.
Nonlinear continuous-wave optical propagation in nematic liquid crystals: Interplay between reorientational and thermal effects.
Physical Review E. 2017 heinä 11;96(1). 012703.
https://doi.org/10.1103/PhysRevE.96.012703 Stupnikov A, Tripathi S, De Matos Simoes R, McArt D, Salto-Tellez M, Glazko G et al.
SamExploreR: Exploring reproducibility and robustness of RNA-seq results based on SAM files.
Bioinformatics. 2016 marras 1;32(21):3345-3347.
https://doi.org/10.1093/bioinformatics/btw475 Palyulin VV, Chechkin AV, Klages R, Metzler R.
Search reliability and search efficiency of combined Lévy-Brownian motion: Long relocations mingled with thorough local exploration.
Journal of Physics A: Mathematical and Theoretical. 2016 syys 8;49(39). 394002.
https://doi.org/10.1088/1751-8113/49/39/394002 Luukko PJJ, Helske J
, Räsänen E.
Introducing libeemd: a program package for performing the ensemble empirical mode decomposition.
Computational Statistics. 2016 kesä 1;31(2):545-557.
https://doi.org/10.1007/s00180-015-0603-9 Aho V, Mattila K, Kühn T, Kekäläinen P, Pulkkinen O, Minussi RB et al.
Diffusion through thin membranes: Modeling across scales.
Physical Review E. 2016 huhti 12;93(4). 043309.
https://doi.org/10.1103/PhysRevE.93.043309 Ropo M, Schneider M, Baldauf C, Blum V.
First-principles data set of 45,892 isolated and cation-coordinated conformers of 20 proteinogenic amino acids.
Scientific Data. 2016 helmi 16;3. 160009.
https://doi.org/10.1038/sdata.2016.9 Larjo A, Lähdesmäki H.
Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning.
Eurasip Journal on Bioinformatics and Systems Biology. 2015 joulu 27;2015(1). 6.
https://doi.org/10.1186/s13637-015-0024-7 Bencheikh K
, Räsänen E.
Hermitian one-particle density matrix through a semiclassical gradient expansion.
Journal of Physics A: Mathematical and Theoretical. 2015 joulu 9;49(1). 015205.
https://doi.org/10.1088/1751-8113/49/1/015205 Mahmoudvand R, Alehosseini F, Rodrigues PC. Forecasting mortality rate by singular spectrum analysis. REVSTAT STATISTICAL JOURNAL. 2015 marras 1;13(3):193-206.
Safdari H, Cherstvy AG, Chechkin AV, Thiel F, Sokolov IM, Metzler R.
Quantifying the non-ergodicity of scaled Brownian motion.
Journal of Physics A: Mathematical and Theoretical. 2015 syys 18;48(37). 375002.
https://doi.org/10.1088/1751-8113/48/37/375002 Devassy L, Jisha CP, Alberucci A, Kuriakose VC.
Parity-time-symmetric solitons in trapped Bose-Einstein condensates and the influence of varying complex potentials: A variational approach.
Physical Review E. 2015 elo 19;92(2). 022914.
https://doi.org/10.1103/PhysRevE.92.022914 Krüsemann H, Godec A, Metzler R.
Ageing first passage time density in continuous time random walks and quenched energy landscapes.
Journal of Physics A: Mathematical and Theoretical. 2015 heinä 17;48(28). 285001.
https://doi.org/10.1088/1751-8113/48/28/285001 Cherstvy AG, Metzler R.
Ergodicity breaking, ageing, and confinement in generalized diffusion processes with position and time dependent diffusivity.
Journal of Statistical Mechanics: Theory and Experiment. 2015 touko 15;2015(5). P05010.
https://doi.org/10.1088/1742-5468/2015/05/P05010 Blavatska V, Metzler R.
Conformational properties of complex polymers: Rosette versus star-like structures.
Journal of Physics A: Mathematical and Theoretical. 2015 huhti 7;48(13). 135001.
https://doi.org/10.1088/1751-8113/48/13/135001 Subramaniyam NP
, Hyttinen J.
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks.
Physical Review E. 2015 helmi 27;91(2). 022927.
https://doi.org/10.1103/PhysRevE.91.022927 Yang Z, Peltonen J, Kaski S. Majorization-minimization for manifold embedding. Journal of Machine Learning Research. 2015;38:1088-1097.
Rahmatallah Y
, Emmert-Streib F, Glazko G.
Gene Sets Net Correlations Analysis (GSNCA): A multivariate differential coexpression test for gene sets.
Bioinformatics. 2014 helmi 1;30(3):360-368.
https://doi.org/10.1093/bioinformatics/btt687 Rodrigues PC, Moreira EE, Jesus VM, Mexia JT.
Structured orthogonal families of one and two strata prime basis factorial models.
Statistical Papers. 2014;55(3):603-614.
https://doi.org/10.1007/s00362-013-0507-0 Peltonen J, Lin Z. Information retrieval perspective to meta-visualization. Journal of Machine Learning Research. 2013;29:165-180.
Rahmatallah Y
, Emmert-Streib F, Glazko G.
Gene set analysis for self-contained tests: Complex null and specific alternative hypotheses.
Bioinformatics. 2012 joulu;28(23):3073-3080.
https://doi.org/10.1093/bioinformatics/bts579 Pereira DG, Rodrigues PC, Mejza S, Mexia JT.
A comparison between joint regression analysis and the AMMI model: A case study with barley.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. 2012 helmi;82(2):193-207.
https://doi.org/10.1080/00949655.2011.615839 Wu GHM, Auvinen A, Yen AMF, Hakama M, Walter SD, Chen HH.
A stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detection.
Biometrical Journal. 2012 tammi;54(1):20-44.
https://doi.org/10.1002/bimj.201000107 Pearlman A, Campbell C, Brooks E, Genshaft A, Shajahan S, Ittman M et al.
Clustering-based method for developing a genomic copy number alteration signature for predicting the metastatic potential of prostate cancer.
JOURNAL OF PROBABILITY AND STATISTICS. 2012. 873570.
https://doi.org/10.1155/2012/873570 Assanto G, Marchant TR, Minzoni AA, Smyth NF.
Reorientational versus Kerr dark and gray solitary waves using modulation theory.
Physical Review E. 2011 joulu 9;84(6). 066602.
https://doi.org/10.1103/PhysRevE.84.066602 Yu G, Zhang B, Bova GS, Xu J, Shih IM, Wang Y.
BACOM: In silico detection of genomic deletion types and correction of normal cell contamination in copy number data.
Bioinformatics. 2011 kesä;27(11):1473-1480. btr183.
https://doi.org/10.1093/bioinformatics/btr183 Potapov I, Volkov E, Kuznetsov A.
Dynamics of coupled repressilators: The role of mRNA kinetics and transcription cooperativity.
Physical Review E. 2011 maalis 4;83(3). 031901.
https://doi.org/10.1103/PhysRevE.83.031901 Peltonen J, Kaski S. Generative modeling for maximizing precision and recall in information visualization. Journal of Machine Learning Research. 2011;15:579-587.
Altay G
, Emmert-Streib F.
Revealing differences in gene network inference algorithms on the network level by ensemble methods.
Bioinformatics. 2010 touko 25;26(14):1738-1744. btq259.
https://doi.org/10.1093/bioinformatics/btq259 Emmert-Streib F, Dehmer M.
Fault tolerance of information processing in gene networks.
Physica A: Statistical Mechanics and Its Applications. 2009 helmi 15;388(4):541-548.
https://doi.org/10.1016/j.physa.2008.10.032 Knuuti M, Länsivaara T.
Performance of Variable Partial Factor approach in a slope design. julkaisussa 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019. 2019
https://doi.org/10.22725/ICASP13.475