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Philippe Chlenski
Philippe Chlenski
PhD candidate, Columbia University
Verified email at cs.columbia.edu - Homepage
Title
Cited by
Cited by
Year
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities
JJ Davis, AR Wattam, RK Aziz, T Brettin, R Butler, RM Butler, P Chlenski, ...
Nucleic acids research 48 (D1), D606-D612, 2020
8842020
A machine learning-based service for estimating quality of genomes using PATRIC
B Parrello, R Butler, P Chlenski, R Olson, J Overbeek, GD Pusch, ...
BMC bioinformatics 20, 1-9, 2019
392019
Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates
TA Joseph, P Chlenski, A Litman, T Korem, I Pe'er
Genome Research 32 (3), 558-568, 2022
292022
Supervised extraction of near-complete genomes from metagenomic samples: A new service in PATRIC
B Parrello, R Butler, P Chlenski, GD Pusch, R Overbeek
PLoS One 16 (4), e0250092, 2021
12*2021
Fast hyperboloid decision tree algorithms
P Chlenski, E Turok, A Moretti, I Pe'er
International Conference on Learning Representations, 2023
22023
Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning
P Hanke, B Parrello, O Vasieva, C Akins, P Chlenski, G Babnigg, C Henry, ...
Metabolic Engineering Communications 17, e00225, 2023
12023
Transcoders Find Interpretable LLM Feature Circuits
J Dunefsky, P Chlenski, N Nanda
arXiv preprint arXiv:2406.11944, 2024
2024
Mixed-Curvature Decision Trees and Random Forests
P Chlenski, Q Chu, I Pe'er
ICML Workshop on Geometry-grounded Representation Learning and Generative …, 2024
2024
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
H Yang, AK Moretti, S Macaluso, P Chlenski, CA Naesseth, I Pe'er
arXiv preprint arXiv:2406.03242, 2024
2024
Signals of microbial growth learned from single amplicon samples
PA Chlenski, D Ricaurte, I Pe'er
Machine Learning in Computational Biology, 2023
2023
MiSDEED: a synthetic data engine for microbiome study power analysis and study design
P Chlenski, M Hsu, I Pe’er
Bioinformatics Advances 2 (1), vbac043, 2022
2022
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Articles 1–11