Maxwell W. Libbrecht
Orcid: 0000-0003-2502-0262
According to our database1,
Maxwell W. Libbrecht
authored at least 21 papers
between 2013 and 2023.
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Bibliography
2023
Bioinform., January, 2023
Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data.
Proceedings of the Machine Learning in Computational Biology, November 30, 2023
2022
DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning.
IEEE Trans. Medical Imaging, 2022
Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Bioinform., 2022
2021
Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patterns.
PLoS Comput. Biol., 2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning.
CoRR, 2021
Bioinform., 2021
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis.
Algorithms Mol. Biol., 2021
Predicting drug resistance in <i>M. tuberculosis</i> using a long-term recurrent convolutional network.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis.
Proceedings of the 20th International Workshop on Algorithms in Bioinformatics, 2020
2018
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
2016
Understanding human genome regulation through entropic graph-based regularization and submodular optimization.
PhD thesis, 2016
2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
2013
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements.
Adv. Math. Commun., 2013