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Papers: 10.3390/diagnostics10121013

https://doi.org/10.3390/diagnostics10121013

Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia

Cited by: 10
Author(s): Yoon Hee Lee, Gi-Ung Kang, Se Young Jeon, Setu Bazie Tagele, Huy Quang Pham, Min-Sueng Kim, Sajjad Ahmad, Da-Ryung Jung, Yeong-Jun Park, Hyung Soo Han, Jae‐Ho Shin, Gun Oh Chong
Published: over 5 years ago

Software Mentions 3

cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
Very Likely Science (100)