Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing

Livio Antonielli; Niccolò Carlino; Nicola Segata; Angela Sessitsch; Rodriguez Carolina Escobar; Tanja Kostic

doi:https://zenodo.org/records/13169841

Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing

Livio Antonielli (Speaker, Invited), Niccolò Carlino, Nicola Segata, Angela Sessitsch, Rodriguez Carolina Escobar, Tanja Kostic

Bioresources

University of Trento

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation

Original language	English
Title of host publication	abstract book miCROPe
DOIs	https://doi.org/https://zenodo.org/records/13169841
Publication status	Published - 2024
Event	MiCROPe International Symposium - Schönbrunn Palace, Wien, Austria Duration: 15 Jul 2024 → 18 Jul 2024

Conference

Conference	MiCROPe International Symposium
Country/Territory	Austria
City	Wien
Period	15/07/24 → 18/07/24

Research Field

Exploration of Biological Resources

Access to Document

https://zenodo.org/records/13169841

Cite this

@inproceedings{717bf13c30d940e6bc2b75833759b707,

title = "Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing",

author = "Livio Antonielli and Niccol{\`o} Carlino and Nicola Segata and Angela Sessitsch and {Carolina Escobar}, Rodriguez and Tanja Kostic",

year = "2024",

doi = "https://zenodo.org/records/13169841",

language = "English",

booktitle = "abstract book miCROPe",

note = "MiCROPe International Symposium ; Conference date: 15-07-2024 Through 18-07-2024",

}

Antonielli, L, Carlino, N, Segata, N, Sessitsch, A, Carolina Escobar, R & Kostic, T 2024, Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing. in abstract book miCROPe. MiCROPe International Symposium, Wien, Austria, 15/07/24. https://doi.org/https://zenodo.org/records/13169841

TY - GEN

T1 - Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing

AU - Carlino, Niccolò

AU - Segata, Nicola

AU - Sessitsch, Angela

AU - Carolina Escobar, Rodriguez

AU - Kostic, Tanja

A2 - Antonielli, Livio

PY - 2024

Y1 - 2024

UR - https://www.micrope.org/

U2 - https://zenodo.org/records/13169841

DO - https://zenodo.org/records/13169841

M3 - Conference Proceedings with Oral Presentation

BT - abstract book miCROPe

T2 - MiCROPe International Symposium

Y2 - 15 July 2024 through 18 July 2024

ER -

Harnessing machine learning for predictive tools in microbiome studies: a focus on amplicon sequence variants and metagenomic shotgun sequencing

Conference

Research Field

Access to Document

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Cite this