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- 2019
-
Mark
GWAS Discovery Of Candidate Genes for Yield-Related Traits in Peanut and Support from Earlier QTL Mapping Studies
- Contribution to journal › Article
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Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
- Contribution to journal › Article
-
Mark
Statistical inference with deep latent variable models
(2019)
- Thesis › Doctoral thesis (compilation)
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Mark
Mechanical Asymmetry of the Cell Wall Predicts Changes in Pavement Cell Geometry
- Contribution to journal › Letter
-
Mark
Variational auto-encoders with Student’s t-prior
(2019) 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Optical DNA Mapping Combined with Cas9-Targeted Resistance Gene Identification for Rapid Tracking of Resistance Plasmids in a Neonatal Intensive Care Unit Outbreak
- Contribution to journal › Article
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Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
- Contribution to journal › Article
- 2018
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
(2018) In Scientific Reports
- Contribution to journal › Article
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Mark
Nitrate modulates stem cell dynamics in Arabidopsis shoot meristems through cytokinins
(2018) In Proceedings of the National Academy of Sciences of the United States of America 115(6). p.1382-1387
- Contribution to journal › Article
-
Mark
Markov modeling of peptide folding in the presence of protein crowders
- Contribution to journal › Article
