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Cited by in F6Publishing
For: Moreno-Indias I, Lahti L, Nedyalkova M, Elbere I, Roshchupkin G, Adilovic M, Aydemir O, Bakir-Gungor B, Santa Pau EC, D'Elia D, Desai MS, Falquet L, Gundogdu A, Hron K, Klammsteiner T, Lopes MB, Marcos-Zambrano LJ, Marques C, Mason M, May P, Pašić L, Pio G, Pongor S, Promponas VJ, Przymus P, Saez-Rodriguez J, Sampri A, Shigdel R, Stres B, Suharoschi R, Truu J, Truică CO, Vilne B, Vlachakis D, Yilmaz E, Zeller G, Zomer AL, Gómez-Cabrero D, Claesson MJ. Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Front Microbiol 2021;12:635781. [PMID: 33692771 DOI: 10.3389/fmicb.2021.635781] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Curry KD, Nute MG, Treangen TJ. It takes guts to learn: machine learning techniques for disease detection from the gut microbiome. Emerg Top Life Sci 2021;5:815-27. [PMID: 34779841 DOI: 10.1042/ETLS20210213] [Reference Citation Analysis]
2 Potbhare R, Ravikumar A, Munukka E, Lahti L, Ashma R. Skin microbiota diversity among genetically unrelated individuals of Indian origin. PeerJ 2022;10:e13075. [DOI: 10.7717/peerj.13075] [Reference Citation Analysis]
3 Ruuskanen MO, Sommeria-Klein G, Havulinna AS, Niiranen TJ, Lahti L. Modelling spatial patterns in host-associated microbial communities. Environ Microbiol 2021;23:2374-88. [PMID: 33734553 DOI: 10.1111/1462-2920.15462] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Marcos-Zambrano LJ, Karaduzovic-Hadziabdic K, Loncar Turukalo T, Przymus P, Trajkovik V, Aasmets O, Berland M, Gruca A, Hasic J, Hron K, Klammsteiner T, Kolev M, Lahti L, Lopes MB, Moreno V, Naskinova I, Org E, Paciência I, Papoutsoglou G, Shigdel R, Stres B, Vilne B, Yousef M, Zdravevski E, Tsamardinos I, Carrillo de Santa Pau E, Claesson MJ, Moreno-Indias I, Truu J. Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment. Front Microbiol 2021;12:634511. [PMID: 33737920 DOI: 10.3389/fmicb.2021.634511] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 10.0] [Reference Citation Analysis]
5 Hintikka J, Lensu S, Mäkinen E, Karvinen S, Honkanen M, Lindén J, Garrels T, Pekkala S, Lahti L. Xylo-Oligosaccharides in Prevention of Hepatic Steatosis and Adipose Tissue Inflammation: Associating Taxonomic and Metabolomic Patterns in Fecal Microbiomes with Biclustering. Int J Environ Res Public Health 2021;18:4049. [PMID: 33921370 DOI: 10.3390/ijerph18084049] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Lim H, Cankara F, Tsai C, Keskin O, Nussinov R, Gursoy A. Artificial intelligence approaches to human-microbiome protein–protein interactions. Current Opinion in Structural Biology 2022;73:102328. [DOI: 10.1016/j.sbi.2022.102328] [Reference Citation Analysis]
7 Vilne B, Grantiņa-ieviņa L, Ķibilds J, Mališevs A, Konvisers G, Makarova S, Pūle D, Valciņa O. Investigating Bacterial and Free-Living Protozoa Diversity in Biofilms of Hot Water Pipes of Apartment Buildings in the City of Riga (Latvia). Front Water 2021;3:799840. [DOI: 10.3389/frwa.2021.799840] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Rey JS, Li W, Bryer AJ, Beatson H, Lantz C, Engelman AN, Perilla JR. Deep-learning in situ classification of HIV-1 virion morphology. Comput Struct Biotechnol J 2021;19:5688-700. [PMID: 34765089 DOI: 10.1016/j.csbj.2021.10.001] [Reference Citation Analysis]
9 Eckermann HA, Ou Y, Lahti L, Weerth C. Can gut microbiota throughout the first 10 years of life predict executive functioning in childhood? Developmental Psychobiology 2022;64. [DOI: 10.1002/dev.22226] [Reference Citation Analysis]
10 Vilne B, Ķibilds J, Siksna I, Lazda I, Valciņa O, Krūmiņa A. Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study: Coronary Artery Disease. Front Microbiol 2022;13:627892. [DOI: 10.3389/fmicb.2022.627892] [Reference Citation Analysis]
11 Hillestad EMR, van der Meeren A, Nagaraja BH, Bjørsvik BR, Haleem N, Benitez-Paez A, Sanz Y, Hausken T, Lied GA, Lundervold A, Berentsen B. Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome. World J Gastroenterol 2022; 28(4): 412-431 [DOI: 10.3748/wjg.v28.i4.412] [Reference Citation Analysis]
12 Sardina DS, Valenti G, Papia F, Uasuf CG. Exploring Machine Learning Techniques to Predict the Response to Omalizumab in Chronic Spontaneous Urticaria. Diagnostics (Basel) 2021;11:2150. [PMID: 34829497 DOI: 10.3390/diagnostics11112150] [Reference Citation Analysis]