Author

M. J. Sillanpaa

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:non-human primate· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Bari· 1 shared A. Fraimout· 1 shared a. Jilal· 1 shared F. Guillaume· 1 shared F. Stoddard· 1 shared H. Khazaei· 1 shared H. Ouabbou· 1 shared J. Merila· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPlant Biology

A. Bari

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Author profile →

2 papers

Recent·Most cited

Machine Learning Speeding Up the Development of Portfolio of New Crop Varieties to Adapt to and Mitigate Climate Change

A. Bari, H. Ouabbou, a. Jilal, H. Khazaei, F. Stoddard, M. J. Sillanpaa

The paper uses machine learning to accelerate the development of new crop varieties with climate adaptation and mitigation traits.

bioRxiv · Oct 6, 2021 · PreprintPlant Biology

Dissecting the genetic architecture of quantitative traits using genome-wide identity-by-descent sharing

A. Fraimout, F. Guillaume, Z. Li, M. J. Sillanpaa, P. Rastas, J. Merila

This study estimates quantitative genetic parameters in sticklebacks using IBD sharing, finding that low relatedness variance impairs estimation but half-sib designs allow accurate heritability and additive variance assessment.

bioRxiv · Mar 1, 2021Evolutionary Biology