Author

A. P. Carrieri

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

L. PARIDA· 3 shared N. Haiminen· 3 shared A. Gonzalez· 2 shared C. Martino· 2 shared G. Humphrey· 2 shared K. L. Beck· 2 shared R. A. Salido· 2 shared S. Huang· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

L. PARIDA

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

AutoXAI4Omics: an Automated Explainable AI tool for Omics and tabular data

J. Strudwick, L.-J. Gardiner, K. Denning-James, N. Haiminen, A. Evans, J. Kelly, M. Madgwick, F. Utro, E. Seabolt, C. Gibson, B. Bedi, D. Clayton, C. Howell, L. PARIDA, A. P. Carrieri

AutoXAI4Omics automates and explains ML pipelines for omics and tabular data, enabling interpretable insights for biomarker discovery and phenotype prediction.

bioRxiv · Mar 25, 2024 · PreprintBioinformatics

Bacterial metatranscriptomes in wastewater can differentiate virally infected human populations

R. A. Salido, C. Martino, S. Karthikeyan, S. Huang, G. Rahman, A. Gonzalez, L. S. Zaramela, K. L. Beck, S. Bhute, K. Cantrell, A. P. Carrieri, S. Farmer, N. Haiminen, G. Humphrey, H.-C. Kim, , R. Knight

The paper shows that bacterial metatranscriptomes in wastewater can distinguish SARS-CoV-2 infected from uninfected human populations without directly detecting viral transcripts.

bioRxiv · Feb 23, 2022 · PreprintMicrobiology

Multi-omics profiling of Earth's biomes reveals patterns of diversity and co-occurrence in microbial and metabolite composition across environments

J. P. Shaffer, L.-F. Nothias, L. R. Thompson, S. G. Jon, R. A. Salido, S. P. Couvillion, A. D. Brejnrod, S. Huang, F. Lejzerowicz, N. Haiminen, H. L. Lutz, Q. Zhu, C. Martino, J. T. Morton, S. Karthikeyan, , St

The paper performs a multi-omics meta-analysis of microbial and metabolite data from diverse environments, revealing patterns of diversity and co-occurrence across biomes.

bioRxiv · Jun 4, 2021Ecology