Similar articles for PMID: 31420049

Year	Number of Results
2008	2
2010	1
2011	2
2012	4
2013	6
2014	8
2015	13
2016	21
2017	17
2018	24
2019	48
2020	29
2021	47
2022	49
2023	13
2024	0

1

Application of machine learning techniques for creating urban microbial fingerprints.

Ryan FJ. Ryan FJ. Biol Direct. 2019 Aug 16;14(1):13. doi: 10.1186/s13062-019-0245-x. Biol Direct. 2019. PMID: 31420049 Free PMC article.

2

Identification of city specific important bacterial signature for the MetaSUB CAMDA challenge microbiome data.

Walker AR, Datta S. Walker AR, et al. Biol Direct. 2019 Jul 24;14(1):11. doi: 10.1186/s13062-019-0243-z. Biol Direct. 2019. PMID: 31340852 Free PMC article.

3

A machine learning framework to determine geolocations from metagenomic profiling.

Huang L, Xu C, Yang W, Yu R. Huang L, et al. Biol Direct. 2020 Nov 23;15(1):27. doi: 10.1186/s13062-020-00278-z. Biol Direct. 2020. PMID: 33225966 Free PMC article.

4

Massive metagenomic data analysis using abundance-based machine learning.

Harris ZN, Dhungel E, Mosior M, Ahn TH. Harris ZN, et al. Biol Direct. 2019 Aug 1;14(1):12. doi: 10.1186/s13062-019-0242-0. Biol Direct. 2019. PMID: 31370905 Free PMC article.

5

Environmental metagenome classification for constructing a microbiome fingerprint.

Kawulok J, Kawulok M, Deorowicz S. Kawulok J, et al. Biol Direct. 2019 Nov 13;14(1):20. doi: 10.1186/s13062-019-0251-z. Biol Direct. 2019. PMID: 31722729 Free PMC article.

6

Unraveling city-specific signature and identifying sample origin locations for the data from CAMDA MetaSUB challenge.

Zhang R, Walker AR, Datta S. Zhang R, et al. Biol Direct. 2021 Jan 4;16(1):1. doi: 10.1186/s13062-020-00284-1. Biol Direct. 2021. PMID: 33397406 Free PMC article.

7

Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles.

Walker AR, Grimes TL, Datta S, Datta S. Walker AR, et al. Biol Direct. 2018 May 22;13(1):10. doi: 10.1186/s13062-018-0215-8. Biol Direct. 2018. PMID: 29789016 Free PMC article.

8

Profiling microbial strains in urban environments using metagenomic sequencing data.

Zolfo M, Asnicar F, Manghi P, Pasolli E, Tett A, Segata N. Zolfo M, et al. Biol Direct. 2018 May 9;13(1):9. doi: 10.1186/s13062-018-0211-z. Biol Direct. 2018. PMID: 29743119 Free PMC article.

9

The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium inaugural meeting report.

MetaSUB International Consortium. MetaSUB International Consortium. Microbiome. 2016 Jun 3;4(1):24. doi: 10.1186/s40168-016-0168-z. Microbiome. 2016. PMID: 27255532 Free PMC article.

10

Supervised Machine Learning Enables Geospatial Microbial Provenance.

Bhattacharya C, Tierney BT, Ryon KA, Bhattacharyya M, Hastings JJA, Basu S, Bhattacharya B, Bagchi D, Mukherjee S, Wang L, Henaff EM, Mason CE. Bhattacharya C, et al. Genes (Basel). 2022 Oct 21;13(10):1914. doi: 10.3390/genes13101914. Genes (Basel). 2022. PMID: 36292799 Free PMC article.

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