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- 2019
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Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
(
- Contribution to journal › Article
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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
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
Twelve complete chloroplast genomes of wild peanuts : great genetic resources and a better understanding of Arachis phylogeny
(
- 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
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Mark
Statistical inference with deep latent variable models
2019)(
- Thesis › Doctoral thesis (compilation)
- 2018
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
-
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
The self-organization of plant microtubules inside the cell volume yields their cortical localization, stable alignment, and sensitivity to external cues
(
- Contribution to journal › Article