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Search Results - Shimagaki, Kai
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popDMS infers mutation effects from deep mutational scanning data
by
Hong, Zhenchen
,
Shimagaki, Kai S
,
Barton, John P
Published in
Bioinformatics (Oxford, England)
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Selection of sequence motifs and generative Hopfield-Potts models for protein families
by
Shimagaki, Kai
,
Weigt, Martin
Published in
Physical review. E
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Selection of sequence motifs and generative Hopfield-Potts models for protein families
by
Shimagaki, Kai
,
Weigt, Martin
Published in
Physical review. E
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Bézier interpolation improves the inference of dynamical models from data
by
Shimagaki, Kai
,
Barton, John P
Published in
Physical review. E
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Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families
by
Barrat-Charlaix, Pierre
,
Muntoni, Anna Paola
,
Shimagaki, Kai
,
Weigt, Martin
,
Zamponi, Francesco
Published in
Physical review. E
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Selection of sequence motifs and generative Hopfield-Potts models for protein familiesilies
by
Shimagaki, Kai
,
Weigt, Martin
Published in
arXiv.org
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Bézier interpolation improves the inference of dynamical models from data
by
Shimagaki, Kai
,
Barton, John P
Published in
arXiv.org
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Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families
by
Barrat-Charlaix, Pierre
,
Muntoni, Anna Paola
,
Shimagaki, Kai
,
Weigt, Martin
,
Zamponi, Francesco
Published in
arXiv.org
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