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Zitong Li
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Year
Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection
Z Li, MJ Sillanpää
Theoretical and Applied Genetics 125 (3), 419-435, 2012
1842012
Population genomic evidence for adaptive differentiation in the Baltic Sea herring
B Guo, Z Li, J Merilä
Molecular ecology 25 (12), 2833–2852, 2016
1012016
Dynamic quantitative trait locus analysis of plant phenomic data
Z Li, MJ Sillanpää
Trends in plant science 20 (12), 822-833, 2015
642015
Genome‐Wide Association Study (GWAS) identified novel candidate loci affecting wood formation in Norway spruce
J Baison, A Vidalis, L Zhou, ZQ Chen, Z Li, MJ Sillanpää, C Bernhardsson, ...
The Plant Journal, 2019
562019
Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms
Z Li, MJ Sillanpää
Genetics 190 (1), 231-249, 2012
402012
Functional multi-locus QTL mapping of temporal trends in Scots pine wood traits
Z Li, HR Hallingbäck, S Abrahamsson, A Fries, BA Gull, MJ Sillanpää, ...
G3: Genes| Genomes| Genetics 4 (12), 2365-2379, 2014
362014
A Bayesian nonparametric approach for mapping dynamic quantitative traits
Z Li, MJ Sillanpää
Genetics 194 (4), 997-1016, 2013
342013
Linkage disequilibrium clustering‐based approach for association mapping with tightly linked genomewide data
Z Li, P Kemppainen, P Rastas, J Merilä
Molecular ecology resources 18 (4), 809-824, 2018
302018
Genetic population structure constrains local adaptation in sticklebacks
K Petri, Z Li, P Rastas, A Löytynoja, F Bohao, J Yang, B Guo, T Shikano, ...
Molecular Ecology 30 (9), 1946-1961, 2021
272021
Deciphering the genomic architecture of the stickleback brain with a novel multi‐locus gene‐mapping approach
Z Li, B Guo, J Yang, G Herczeg, A Gonda, G Balázs, T Shikano, ...
Molecular Ecology, 2017
252017
The roles of climate, geography and natural selection as drivers of genetic and phenotypic differentiation in a widespread amphibian Hyla annectans (Anura: Hylidae)
S Wei, Z Li, P Momigliano, C Fu, H Wu, J Merilä
Molecular Ecology, 2020
222020
Population transcriptomics reveals weak parallel genetic basis in repeated marine and freshwater divergence in nine‐spined sticklebacks
Y Wang, Y Zhao, Y Wang, Z Li, B Guo, J Merilä
Molecular ecology 29 (9), 1642-1656, 2020
192020
A robust multiple-locus method for quantitative trait locus analysis of non-normally distributed multiple traits
Z Li, J Möttönen, MJ Sillanpää
Heredity 115 (6), 556-564, 2015
192015
An efficient genome-wide multilocus epistasis search
HP Kärkkäinen, Z Li, MJ Sillanpää
Genetics 201 (3), 865-870, 2015
162015
Effects of marker type and filtering criteria on QST-FST comparisons
Z Li, A Löytynoja, A Fraimout, J Merilä
Royal Society Open Science 6 (11), 190666, 2019
132019
A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data
J Vanhatalo, Z Li, MJ Sillanpää
Bioinformatics 35 (19), 3684-3692, 2019
122019
Genomic prediction of cotton fibre quality and yield traits using Bayesian regression methods
Z Li, S Liu, W Conaty, QH Zhu, P Moncuquet, W Stiller, I Wilson
Heredity, 1-10, 2022
102022
Analysis of phenotypic-and Estimated Breeding Values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design
A Calleja-Rodriguez, Z Li, HR Hallingbäck, MJ Sillanpää, HX Wu, ...
Journal of theoretical biology 462, 283-292, 2019
102019
Cotton breeding in Australia: Meeting the challenges of the 21 st Century
WC Conaty, KJ Broughton, LM Egan, X Li, Z Li, S Liu, DJ Llewellyn, ...
Frontiers in Plant Science, 1324, 2022
92022
Aging three‐spined sticklebacks Gasterosteus aculeatus: comparison of estimates from three structures
A Yurtseva, K Noreikiene, D Lajus, Z Li, T Alapassi, T Ivanova, M Ivanov, ...
Journal of Fish Biology 95 (3), 802-811, 2019
92019
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Articles 1–20