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Nature Biotechnology
|
February 9, 2008
What are artificial neural networks?
Anders Krogh
Tidsskrift for Den Norske Laegeforening : Tidsskrift for Praktisk Medicin, Ny Raekke
|
March 8, 2018
Anders Krogh Aarebrot
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
November 5, 2004
Teaching computers to fold proteins
Ole Winther, Anders Krogh
Bioinformatics (Oxford, England)
|
August 12, 2023
The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
Viktoria Schuster, Anders Krogh
BMC Genomics
|
September 15, 2005
Computational evidence for hundreds of non-conserved plant microRNAs
Morten Lindow, Anders Krogh
Entropy (Basel, Switzerland)
|
November 27, 2021
A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder
Viktoria Schuster, Anders Krogh
BMC Bioinformatics
|
May 23, 2006
Automatic generation of gene finders for eukaryotic species
Kasper Munch, Anders Krogh
Bioinformatics (Oxford, England)
|
October 27, 2005
Large-scale prokaryotic gene prediction and comparison to genome annotation
Pernille Nielsen, Anders Krogh
Methods in Molecular Biology (Clifton, N.J.)
|
December 14, 2007
Hidden Markov Models for prediction of protein features
Christopher Bystroff, Anders Krogh
BMC Bioinformatics
|
June 5, 2003
EasyGene--a prokaryotic gene finder that ranks ORFs by statistical significance
Thomas Schou Larsen, Anders Krogh
Page
of 14
Search research articles
Search
Showing results (1-10 of 134) with videos related to
Sort By:
Page
of 14
Nature Biotechnology
|
February 9, 2008
What are artificial neural networks?
Anders Krogh
Tidsskrift for Den Norske Laegeforening : Tidsskrift for Praktisk Medicin, Ny Raekke
|
March 8, 2018
Anders Krogh Aarebrot
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
November 5, 2004
Teaching computers to fold proteins
Ole Winther, Anders Krogh
Bioinformatics (Oxford, England)
|
August 12, 2023
The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
Viktoria Schuster, Anders Krogh
BMC Genomics
|
September 15, 2005
Computational evidence for hundreds of non-conserved plant microRNAs
Morten Lindow, Anders Krogh
Entropy (Basel, Switzerland)
|
November 27, 2021
A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder
Viktoria Schuster, Anders Krogh
BMC Bioinformatics
|
May 23, 2006
Automatic generation of gene finders for eukaryotic species
Kasper Munch, Anders Krogh
Bioinformatics (Oxford, England)
|
October 27, 2005
Large-scale prokaryotic gene prediction and comparison to genome annotation
Pernille Nielsen, Anders Krogh
Methods in Molecular Biology (Clifton, N.J.)
|
December 14, 2007
Hidden Markov Models for prediction of protein features
Christopher Bystroff, Anders Krogh
BMC Bioinformatics
|
June 5, 2003
EasyGene--a prokaryotic gene finder that ranks ORFs by statistical significance
Thomas Schou Larsen, Anders Krogh
Page
of 14