Anna Paola Carrieri
Anna Paola Carrieri
Research Staff Member at IBM Research
Adresse e-mail validée de uk.ibm.com
Titre
Citée par
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Année
Fixed-parameter algorithms for scaffold filling
L Bulteau, AP Carrieri, R Dondi
Theoretical Computer Science 568, 72-83, 2015
172015
Streaming histogram sketching for rapid microbiome analytics
WPM Rowe, AP Carrieri, C Alcon-Giner, S Caim, A Shaw, K Sim, JS Kroll, ...
Microbiome 7 (1), 1-13, 2019
152019
Explaining evolution via constrained persistent perfect phylogeny
P Bonizzoni, AP Carrieri, G Della Vedova, G Trucco
BMC genomics 15 (S6), S10, 2014
132014
When and how the perfect phylogeny model explains evolution
P Bonizzoni, AP Carrieri, G Della Vedova, R Dondi, TM Przytycka
Discrete and Topological Models in Molecular Biology, 67-83, 2014
112014
A colored graph approach to perfect phylogeny with persistent characters
P Bonizzoni, AP Carrieri, G Della Vedova, R Rizzi, G Trucco
Theoretical Computer Science 658, 60-73, 2017
102017
Human Skin, Oral, and Gut Microbiomes Predict Chronological Age
S Huang, N Haiminen, AP Carrieri, R Hu, L Jiang, L Parida, B Russell, ...
Msystems 5 (1), 2020
82020
Topological signatures for population admixture
L Parida, F Utro, D Yorukoglu, AP Carrieri, D Kuhn, S Basu
International Conference on Research in Computational Molecular Biology, 261-275, 2015
72015
A fast machine learning workflow for rapid phenotype prediction from whole shotgun metagenomes
AP Carrieri, WPM Rowe, M Winn, EO Pyzer-Knapp
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9434-9439, 2019
62019
Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactions
F Cipcigan, AP Carrieri, EO Pyzer-Knapp, R Krishna, YW Hsiao, M Winn, ...
The Journal of chemical physics 148 (24), 241744, 2018
62018
Host phenotype prediction from differentially abundant microbes using rodeo
AP Carrieri, N Haiminen, L Parida
International Meeting on Computational Intelligence Methods for …, 2016
52016
Sampling ARG of multiple populations under complex configurations of subdivision and admixture
AP Carrieri, F Utro, L Parida
Bioinformatics 32 (7), 1048-1056, 2016
32016
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
AP Carrieri, N Haiminen, S Maudsley-Barton, LJ Gardiner, B Murphy, ...
bioRxiv, 2020
2*2020
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
L Jiang, N Haiminen, AP Carrieri, S Huang, Y Vázquez-Baeza, L Parida, ...
arXiv preprint arXiv:2012.00001, 2020
2020
Challenges in Benchmarking Metagenomic Profilers
YY Liu, Z Sun, S Huang, M Zhang, QY Zhu, N Haiminen, AP Carrieri, ...
2020
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
LJ Gardiner, AP Carrieri, J Wilshaw, S Checkley, EO Pyzer-Knapp, ...
Scientific Reports 10 (1), 1-8, 2020
2020
Microbial context predicts SARS-CoV-2 prevalence in patients and the hospital built environment
C Marotz, P Belda-Ferre, F Ali, P Das, S Huang, K Cantrell, L Jiang, ...
medRxiv, 2020
2020
Challenges in Benchmarking Metagenomic Profilers
Z Sun, S Huang, M Zhang, Q Zhu, N Haiminen, AP Carrieri, ...
bioRxiv, 2020
2020
EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic datasets
K Cantrell, MW Fedarko, G Rahman, D McDonald, Y Yang, T Zaw, ...
bioRxiv, 2020
2020
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
G Laura-Jayne, AP Carrieri, J Wilshaw, S Checkley, EO Pyzer-Knapp, ...
Scientific Reports (Nature Publisher Group) 10 (1), 2020
2020
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
LJ Gardiner, AP Carrieri, J Wilshaw, S Checkley, EO Pyzer-Knapp, ...
arXiv preprint arXiv:1911.04374, 2019
2019
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