Cargando…
Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model
The estimation of a postmortem interval (PMI) is particularly important for forensic investigations. The aim of this study was to assess the succession of bacterial communities associated with the decomposition of mouse cadavers and determine the most important biomarker taxa for estimating PMIs. Hi...
Autores principales: | Cui, Chunhong, Song, Yang, Mao, Dongmei, Cao, Yajun, Qiu, Bowen, Gui, Peng, Wang, Hui, Zhao, Xingchun, Huang, Zhi, Sun, Liqiong, Zhong, Zengtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860995/ https://www.ncbi.nlm.nih.gov/pubmed/36677348 http://dx.doi.org/10.3390/microorganisms11010056 |
Ejemplares similares
-
Changes in Microbial Communities Using Pigs as a Model for Postmortem Interval Estimation
por: Yang, Fan, et al.
Publicado: (2023) -
Microbiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression Models
por: Belk, Aeriel, et al.
Publicado: (2018) -
Estimation of the post‐mortem interval by modelling the changes in oral bacterial diversity during decomposition
por: Zhao, Xingchun, et al.
Publicado: (2022) -
A Machine Learning Approach for Using the Postmortem Skin Microbiome to Estimate the Postmortem Interval
por: Johnson, Hunter R., et al.
Publicado: (2016) -
A Novel Module Promotes Horizontal Gene Transfer in Azorhizobium caulinodans ORS571
por: Li, Mingxu, et al.
Publicado: (2022)