Markku Kuismin and Mikko J. Sillanpää. Network hub detection using the entire solution path information. GENETICS, 2024. https://doi.org/10.1093/genetics/iyae187
Markku Kuismin. Using rejection sampling probability of acceptance as a measure of independence. Journal of Computational and Graphical Statistics, 1-17, 2024. https://doi.org/10.1080/10618600.2024.2388544
Ville Happonen, Heikki Kröger, Markku Kuismin, and Reijo Sund. Ankle fractures in finland: 118,929 operatively treated between 1987 and 2019. Acta orthopaedica, 93:327-333, 2022. https://doi.org/10.2340/17453674.2022.2071
Markku Kuismin, Fatemeh Dodangeh, and Mikko J. Sillanpää. Gap-com: general model selection criterion for sparse undirected gene networks with nontrivial community structure. G3 (Bethesda), 2021. https://doi.org/10.1093/g3journal/jkab437
Dilan Saatoglu, Alina K. Niskanen, Markku Kuismin, Peter S. Ranke, Ingerid J. Hagen, Yimen G. Araya-Ajoy, Thomas Kvalnes, Henrik Pärn, Bernt Rønning, Thor Harald Ringsby, Bernt-Erik Sæther, Arild Husby, Mikko J. Sillanpää, and Henrik Jensen. Dispersal in a house sparrow metapopulation: An integrative case study of genetic assignment calibrated with ecological data and pedigree information. Molecular Ecology, 30:4740–4756, 2021. https://onlinelibrary.wiley.com/doi/abs/10.1111/mec.1608
Markku Kuismin and Mikko J. Sillanpää. MCPeSe: Monte Carlo penalty selection for graphical lasso. Bioinformatics, 37:726-727, 2020. https://doi.org/10.1093/bioinformatics/btaa734
Markku Kuismin, Dilan Saatoglu, Alina K. Niskanen, Henrik Jensen, and Mikko J. Sillanpää. Genetic assignment of individuals to source populations using network estimation tools. Methods in Ecology and Evolution, 11:333-344, 2019. https://doi.org/10.1111/2041-210X.13323
Markku O. Kuismin and Mikko J. Sillanpää. Estimation of covariance and precision matrix, network structure, and a view toward systems biology. Wiley Interdisciplinary Reviews: Computational Statistics, 9:e1415, 2017. https://doi.org/10.1002/wics.1415
M. O. Kuismin, J. Ahlinder, and M. J. Sillanpää. CONE: Community oriented network estimation is a versatile framework for inferring population structure in large-scale sequencing data. G3 (Bethesda), 7:3359-3377, 2017. https://doi.org/10.1534/g3.117.300131
M. O. Kuismin, J. T. Kemppainen, and M. J. Sillanpää. Precision matrix estimation with ROPE. Journal of Computational and Graphical Statistics, 26:682–694, 2017. https://doi.org/10.1080/10618600.2016.1278002
Markku Kuismin and Mikko J. Sillanpää. Use of wishart prior and simple extensions for sparse precision matrix estimation. PLOS ONE, 11:e0148171, 2016. https://doi.org/10.1371/journal.pone.0148171
Tero Lähderanta, Lauri Lovén, Leena Ruha, Teemu Leppänen, Markku Kuismin, Ilkka Launonen, Susanna Pirttikangas, Jukka Riekki, and Mikko J. Sillanpää. The intersection of location-allocation, partitional clustering and model-based clustering techniques - a review. Statistical Science, 2024. (Under review)
Markku Kuismin, Jon Ahdlinder, and Mikko J. Sillanpää. fast network based microbial source tracking method can detect low-level fecal pollution