Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

A. Smith, J. Walsh, J. Long, C. Davis, P. Henstock, M. Hodge, M. Maciejewski, X. Mu, S. Ra, S. Zhao, and others. BMC Bioinformatics, 21 (1): 1--18 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Julie Ra

Andreja Ra i

Durmu Ç ra

Hyun-Seup Ra

Leyla Ç ra

Other publications of authors with the same name

OpenProteinSet: Training data for structural biology at scale.G. Ahdritz, N. Bouatta, S. Kadyan, L. Jarosch, D. Berenberg, I. Fisk, A. Watkins, S. Ra, R. Bonneau, and M. AlQuraishi. CoRR, (2023)Multi-segment preserving sampling for deep manifold sampler.D. Berenberg, J. Lee, S. Kelow, J. Park, A. Watkins, V. Gligorijevic, R. Bonneau, S. Ra, and K. Cho. CoRR, (2022)A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences.N. Tagasovska, N. Frey, A. Loukas, I. Hötzel, J. Lafrance-Vanasse, R. Kelly, Y. Wu, A. Rajpal, R. Bonneau, K. Cho and 2 other author(s). CoRR, (2022)Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics dataA. Smith, J. Walsh, J. Long, C. Davis, P. Henstock, M. Hodge, M. Maciejewski, X. Mu, S. Ra, S. Zhao and 1 other author(s). BMC Bioinformatics, 21 (1): 1--18 (2020)Black Box Recursive Translations for Molecular Optimization.F. Damani, V. Sresht, and S. Ra. CoRR, (2019)BOtied: Multi-objective Bayesian optimization with tied multivariate ranks.J. Park, N. Tagasovska, M. Maser, S. Ra, and K. Cho. CoRR, (2023)3D molecule generation by denoising voxel grids.P. Pinheiro, J. Rackers, J. Kleinhenz, M. Maser, O. Mahmood, A. Watkins, S. Ra, V. Sresht, and S. Saremi. CoRR, (2023)Blind Biological Sequence Denoising with Self-Supervised Set Learning.N. Ng, J. Park, J. Lee, R. Kelly, S. Ra, and K. Cho. CoRR, (2023)PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design.J. Park, S. Stanton, S. Saremi, A. Watkins, H. Dwyer, V. Gligorijevic, R. Bonneau, S. Ra, and K. Cho. CoRR, (2022)Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.A. Smith, J. Walsh, J. Long, C. Davis, P. Henstock, M. Hodge, M. Maciejewski, X. Mu, S. Ra, S. Zhao and 2 other author(s). BMC Bioinform., 21 (1): 119 (2020)

BibSonomy

Disambiguation of "Ra, Stephen"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Please choose a person to relate this publication to

Julie Ra

Andreja Ra i

Durmu Ç ra

Hyun-Seup Ra

Leyla Ç ra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ra, Stephen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Please choose a person to relate this publication to

Julie Ra

Andreja Ra i

Durmu Ç ra

Hyun-Seup Ra

Leyla Ç ra

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data