Blar i NTNU Open på forfatter "Corander, Jukka"

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    • Doubly Stochastic Neighbor Embedding on Spheres 

      Lu, Yao; Corander, Jukka; Yang, Zhirong (Journal article; Peer reviewed, 2019)
      Stochastic Neighbor Embedding (SNE) methods minimize the divergence between the similarity matrix of a high-dimensional data set and its counterpart from a low-dimensional embedding, leading to widely applied tools for ...

    • Inferring the heritability of bacterial traits in the era of machine learning 

      Mai, The Tien; Lees, John A; Gladstone, Rebecca Ashley; Corander, Jukka (Peer reviewed; Journal article, 2023)
      Quantification of heritability is a fundamental desideratum in genetics, which allows an assessment of the contribution of additive genetic variation to the variability of a trait of interest. The traditional computational ...

    • Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation 

      Lees, John A.; Tonkin-Hill, Gerry; Yang, Zhirong; Corander, Jukka (Journal article; Peer reviewed, 2022)

    • Stochastic Cluster Embedding 

      Yang, Zhirong; Chen, Yuwei; Sedov, Denis; Kaski, Samuel; Corander, Jukka (Peer reviewed; Journal article, 2023)
      Neighbor embedding (NE) aims to preserve pairwise similarities between data items and has been shown to yield an effective principle for data visualization. However, even the best existing NE methods such as stochastic ...