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Sofia K. Forslund
ORCID
Publication Activity (10 Years)
Years Active: 2018-2020
Publications (10 Years): 5
Top Topics
Unsupervised Learning
Restricted Boltzmann Machine
Pairwise
Unlabeled Data
Top Venues
Nucleic Acids Res.
MLDM (1)
BMC Bioinform.
IEEE ACM Trans. Comput. Biol. Bioinform.
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Publications
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Daniel R. Mende
,
Ivica Letunic
,
Oleksandr M. Maistrenko
,
Thomas S. B. Schmidt
,
Alessio Milanese
,
Lucas Paoli
,
Ana Hernández-Plaza
,
Askarbek N. Orakov
,
Sofia K. Forslund
,
Shinichi Sunagawa
,
Georg Zeller
,
Jaime Huerta-Cepas
,
Luís Pedro Coelho
,
Peer Bork
proGenomes2: an improved database for accurate and consistent habitat, taxonomic and functional annotations of prokaryotic genomes.
Nucleic Acids Res.
48 (Database-Issue) (2020)
Nataliya Sokolovska
,
Olga Permiakova
,
Sofia K. Forslund
,
Jean-Daniel Zucker
Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.
IEEE ACM Trans. Comput. Biol. Bioinform.
17 (1) (2020)
Emma Persson
,
Mateusz Kaduk
,
Sofia K. Forslund
,
Erik L. L. Sonnhammer
Domainoid: domain-oriented orthology inference.
BMC Bioinform.
20 (1) (2019)
Jaime Huerta-Cepas
,
Damian Szklarczyk
,
Davide Heller
,
Ana Hernández-Plaza
,
Sofia K. Forslund
,
Helen Cook
,
Daniel R. Mende
,
Ivica Letunic
,
Thomas Rattei
,
Lars Juhl Jensen
,
Christian von Mering
,
Peer Bork
eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses.
Nucleic Acids Res.
47 (Database-Issue) (2019)
Nataliya Sokolovska
,
Olga Permiakova
,
Sofia K. Forslund
,
Jean-Daniel Zucker
A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data.
MLDM (1)
(2018)