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资源简介：
Upek S enrollment data.
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创建时间：
2014-12-09
相关数据集
Additional file 2: Table S2. of Microbiota fingerprints lose individually identifying features over time
OTU table. Final OTU table generated from the sequencing data, following all quality control steps. ‘Count’ gives the number of reads for a given OTU identified in a given sample. For skin samples, in
Figshare2017-01-14 更新50
Additional file 7: of Application of machine learning techniques for creating urban microbial fingerprints
Table S4. Importance table generated by Random Forest showing mean decrease in accuracy and mean disease in Gini associated with each feature in the random forest model. (XLSX 65 kb)
DataCite Commons2020-08-26 更新50
Triangulation of microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles
The anaerobic digestion microbiome has been puzzling us since the dawn of molecular methods for mixed microbial community analysis. Monitoring of the anaerobic digestion microbiome can either take pla
NIAID Data Ecosystem20
Additional file 4: of Application of machine learning techniques for creating urban microbial fingerprints
Table S1. CAMDA Challenge mystery samples. The complete list of all samples included in the CAMDA challenge, which challenge they were released with, and their city of origin. (XLSX 10 kb)
DataCite Commons2020-08-26 更新50
Additional file 5: of Application of machine learning techniques for creating urban microbial fingerprints
Table S2. Mean relative abundance of the top 100 most abundant count features throughout the 311 samples in the primary dataset. (XLSX 11 kb)
Figshare2019-08-16 更新30
