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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.

Safdari H, Chechkin AV, Jafari GR, Metzler R. Aging scaled Brownian motion. Physical Review E. 2015 huhti 7;91(4). 042107.

Rodrigues PC, Monteiro A, Lourenço VM. A robust AMMI model for the analysis of genotype-by-environment data. Bioinformatics. 2015 heinä 1;32(1):58-66.

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.

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.

Häkkinen A, Ribeiro AS. Characterizing rate limiting steps in transcription from RNA production times in live cells. Bioinformatics. 2016 touko 1;32(9):1346-1352.

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.

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.

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.

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.

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.

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.

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.

Häkkinen A, Ribeiro AS. Estimation of GFP-tagged RNA numbers from temporal fluorescence intensity data. Bioinformatics. 2015 tammi 1;31(1):69-75.

Emmert-Streib F. Exploratory analysis of spatiotemporal patterns of cellular automata by clustering compressibility. Physical Review E. 2010 helmi 8;81(2). 026103.

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.

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.

Mahmoudvand R, Alehosseini F, Rodrigues PC. Forecasting mortality rate by singular spectrum analysis. REVSTAT STATISTICAL JOURNAL. 2015 marras 1;13(3):193-206.

Peltonen J, Kaski S. Generative modeling for maximizing precision and recall in information visualization. Journal of Machine Learning Research. 2011;15:579-587.

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.

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.

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.

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.

Peltonen J, Lin Z. Information retrieval perspective to meta-visualization. Journal of Machine Learning Research. 2013;29:165-180.

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.

Mattila KK, Hegele LA, Philippi PC. Investigation of an entropic stabilizer for the lattice-Boltzmann method. Physical Review E. 2015 kesä 19;91(6). 063010.

Yang Z, Peltonen J, Kaski S. Majorization-minimization for manifold embedding. Journal of Machine Learning Research. 2015;38:1088-1097.

Tripathi S, Dehmer M, Emmert-Streib F. NetBioV: An R package for visualizing large network data in biology and medicine. Bioinformatics. 2014 huhti 2;30(19):2834-2836.

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.

Godec A, Metzler R. Optimization and universality of Brownian search in a basic model of quenched heterogeneous media. Physical Review E. 2015 touko 21;91(5). 052134.

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.

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.

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.

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.

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.

Martins L, Neeli-Venkata R, Oliveira SMD, Häkkinen A, Ribeiro AS, Fonseca JM. SCIP: a single-cell image processor toolbox. Bioinformatics. 2018 joulu 15;34(24):4318-4320.

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.

Godec A, Metzler R. Signal focusing through active transport. Physical Review E. 2015 heinä 2;92(1). 010701.

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.

Glazko GV, Emmert-Streib F. Unite and conquer: Univariate and multivariate approaches for finding differentially expressed gene sets. Bioinformatics. 2009 syys;25(18):2348-2354.

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.

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