A fast machine learning workflow for rapid phenotype prediction from whole shotgun metagenomes
- Anna Paola Carrieri
- Will P. M. Rowe
- et al.
- 2019
- AAAI 2019
Publications
This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Year
17 results for Anna Paola Carrieri
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
Challenges in benchmarking metagenomic profilers
- Zheng Sun
- Shi Huang
- et al.
- 2021
- Nature Methods
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
- Anna Paola Carrieri
- Niina Haiminen
- et al.
- 2021
- Scientific Reports
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
- 2020
- Scientific Reports
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function
- Laura Gardiner
- Rachel Rusholme-Pilcher
- et al.
- 2021
- PNAS
Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity
- Justin P. Shaffer
- Louis-Félix Nothias
- et al.
- 2022
- Nature Microbiology
SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environment
- Clarisse Marotz
- Pedro Belda-Ferre
- et al.
- 2021
- Microbiome
Empress enables tree-guided, interactive, and exploratory analyses of multi-omic data sets
- Kalen Cantrell
- Marcus W. Fedarko
- et al.
- 2021
- mSystems