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Table_1_Statistical and Machine Learning Techniques in Huma..:

Isabel Moreno-Indias (4610914) ; Leo Lahti (61006) ; Miroslava Nedyalkova (4288543)...
https://figshare.com/articles/dataset/Table_1_Statistical_and_Machine_Learning_Techniques_in_Human_Microbiome_Studies_Contemporary_Challenges_and_Solutions_XLSX/14072417. , 2021

Link: https://doi.org/10.3389/fmicb.2021.635781.s001

RT Journal
T1 <Title>Table_1_Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.XLSX</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14072417&Exemplar=1&LAN=DE
				
A1 Isabel Moreno-Indias (4610914)
A1 Leo Lahti (61006)
A1 Miroslava Nedyalkova (4288543)
A1 Ilze Elbere (3584057)
A1 Gennady Roshchupkin (9039419)
A1 Muhamed Adilovic (5961467)
A1 Onder Aydemir (10175486)
A1 Burcu Bakir-Gungor (199380)
A1 Enrique Carrillo-de Santa Pau (10175489)
A1 Domenica D'Elia (9339612)
A1 Mahesh S. Desai (10175492)
A1 Laurent Falquet (158258)
A1 Aycan Gundogdu (10175495)
A1 Karel Hron (8663454)
A1 Thomas Klammsteiner (5240996)
A1 Marta B. Lopes (10165667)
A1 Laura Judith Marcos-Zambrano (10165649)
A1 Cláudia Marques (5342735)
A1 Michael Mason (5116397)
A1 Patrick May (404492)
A1 Lejla Pašić (4222084)
A1 Gianvito Pio (2198278)
A1 Sándor Pongor (6001)
A1 Vasilis J. Promponas (8156640)
A1 Piotr Przymus (10165658)
A1 Julio Saez-Rodriguez (25229)
A1 Alexia Sampri (10175498)
A1 Rajesh Shigdel (10165673)
A1 Blaz Stres (463612)
A1 Ramona Suharoschi (10175501)
A1 Jaak Truu (1732897)
A1 Ciprian-Octavian Truică (10175504)
A1 Baiba Vilne (10165676)
A1 Dimitrios Vlachakis (113343)
A1 Ercument Yilmaz (10175507)
A1 Georg Zeller (54313)
A1 Aldert L. Zomer (8804411)
A1 David Gómez-Cabrero (4535926)
A1 Marcus J. Claesson (7274705)
YR 2021
K1 Microbiology
K1 Microbial Genetics
K1 Microbial Ecology
K1 Mycology
K1 machine learning
K1 microbiome
K1 ML4Microbiome
K1 personalized medicine
K1 biomarker identification
JF https://figshare.com/articles/dataset/Table_1_Statistical_and_Machine_Learning_Techniques_in_Human_Microbiome_Studies_Contemporary_Challenges_and_Solutions_XLSX/14072417
LK http://dx.doi.org/https://doi.org/10.3389/fmicb.2021.635781.s001
DO https://doi.org/10.3389/fmicb.2021.635781.s001
SF ELIB - SuUB Bremen

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