Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.3389/fmicb.2021.635781
https://doi.org/10.3389/fmicb.2021.635781
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
Cited by: 46
Author(s): Isabel Moreno-Indias, Leo Lahti, Miroslava Nedyalkova, Ilze Elbere, Gennady V. Roshchupkin, Muhamed Adilović, Önder Aydemir, Burcu Bakır-Güngör, Enrique Carrillo de Santa Pau, Domenica D’Elia, Mahesh S. Desai, Laurent Falquet, Aycan Gündoğdu, Karel Hron, Thomas Klammsteiner, Marta B. Lopes, Laura Judith Marcos-Zambrano, Cláudia Marques, Mike J. Mason, Patrick May, Lejla Pašić, Gianvito Pio, Sándor Pongor, Vasilis J. Promponas, Piotr Przymus, Julio Sáez-Rodríguez, Alexia Sampri, Rajesh Shigdel, Blaž Stres, Ramona Suharoschi, Jaak Truu, Ciprian-Octavian Truică, Baiba Vilne, Dimitriοs Vlachakis, Ercüment Yılmaz, Georg Zeller, Aldert Zomer, David Green, Marcus J. Claesson
Published: almost 4 years ago
Software Mentions 1
bioconductor: phyloseq
Handling and analysis of high-throughput microbiome census dataPapers that mentioned: 1,702