Sebastian Michel-Mata

Biochemistry, Genetics and Molecular BiologySocial SciencesEnvironmental Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Predicting microbiome compositions from species assemblages through deep learning”.

Predicting microbiome compositions from species assemblages through deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.17.448886

N/A

0DataRank · unranked

2 citations

Xu-Wen Wang, Yang-Yu Liu, Marco Tulio Angulo, Sebastian Michel-Mata

Predicting microbiome compositions from species assemblages through deep learning

iMeta(2022)10.1002/imt2.3

N/A

0DataRank · unranked

56 citations

Xu‐Wen Wang, Yang-Yu Liu, Marco Tulio Angulo, Sebastian Michel-Mata

Identifying keystone species in microbial communities using deep learning

Nature Ecology & Evolution(2023)10.1038/s41559-023-02250-2

N/A

0DataRank · unranked

89 citations

Zheng Sun, Huijue Jia, Sebastian Michel-Mata, Marco Tulio Angulo, Lei Dai +4 more

Identifying keystone species in microbial communities using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.15.532858

N/A

0DataRank · unranked

6 citations

Zheng Sun, Huijue Jia, Sebastian Michel-Mata, Marco Tulio Angulo, Lei Dai +4 more