Takip et
Philippe Chlenski
Philippe Chlenski
PhD candidate, Columbia University
cs.columbia.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
9512020
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
442019
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
392022
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
16*2021
Transcoders find interpretable LLM feature circuits
J Dunefsky*, P Chlenski*, N Nanda
NeurIPS 2024, 2024
12*2024
Fast hyperboloid decision tree algorithms
P Chlenski, E Turok, A Moretti, I Pe'er
ICLR 2024, 2023
32023
Variational pseudo marginal methods for jet reconstruction in particle physics
H Yang, AK Moretti, S Macaluso, P Chlenski, CA Naesseth, I Pe'er
Transactions on Machine Learning Research, 2024
22024
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
22023
Mixed-curvature decision trees and random forests
P Chlenski, Q Chu, I Pe'er
ICML Workshop on Geometry-grounded Representation Learning and Generative …, 2024
12024
Variational Combinatorial Sequential Monte Carlo for Bayesian phylogenetics in hyperbolic space
A Chen, P Chlenski, K Munyuza, AK Moretti, CA Naesseth, I Pe'er
AISTATS 2025, 2025
2025
Hyperbolic genome embeddings
RR Khan, P Chlenski, I Pe'er
ICLR 2025, 2025
2025
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
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–13