Christopher Heje Grønbech
Enrolled PhD student
Computational and RNA Biology
Ole Maaløesvej 5
2200 København N.
ORCID: 0000-0003-3036-3219
1 - 3 out of 3Page size: 10
- 2021
- Published
Improved metagenome binning and assembly using deep variational autoencoders
Nissen, J. N., Johansen, Joachim, Allesoe, R. L., Sonderby, C. K., Armenteros, J. J. A., Grønbech, Christopher Heje, Jensen, Lars Juhl, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2021, In: Nature Biotechnology. 39, p. 555-560Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
scVAE: variational auto-encoders for single-cell gene expression data
Grønbech, Christopher Heje, Vording, M. F., Timshel, P., Sønderby, C. K., Pers, Tune H & Winther, Ole, 2020, In: Bioinformatics. 36, 16, p. 4415-4422 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2018
- Published
Binning microbial genomes using deep learning
Nissen, J. N., Sønderby, C. K., Armenteros, J. J. A., Grønbech, Christopher Heje, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2018, (bioRxiv).Research output: Working paper › Preprint › Research
ID: 223345998
Most downloads
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232
downloads
Binning microbial genomes using deep learning
Research output: Working paper › Preprint › Research
Published -
29
downloads
Improved metagenome binning and assembly using deep variational autoencoders
Research output: Contribution to journal › Journal article › Research › peer-review
Published