Shujuan Wang, Yajing Shang, Xiaoli Guo, Lingling Cui
Relationship between dietary knowledge, food preference, and long-short term health status among Chinese adults
Asia Pacific journal of clinical nutrition
human microbiome consisting diverse bacterial fungal protozoan viral species exerts profound influence various physiological processes disease susceptibility however complexity microbiome data presented significant challenges analysis interpretation intricate datasets leading development specialized software employs machine learning algorithms aims paper analyze raw data taken 16s rrna gene sequencing three studies including stool samples healthy control patients adenoma patients colorectal cancer firstly use networkbased methods reduce dimensions dataset consider important features addition employ supervised machine learning algorithms make prediction results show graphbased techniques reduces dimension 255 78 features modularity score 073 based different centrality measures hand projection methods nonnegative matrix factorization principal component analysis reduce dimensions 7 features furthermore apply supervised machine learning algorithms important features obtained centrality measures ones obtained projection methods founding evaluation metrics approximately scores applying algorithms entire dataset 78 feature 7 features study demonstrates efficacy graphbased projection methods interpretation 16s rrna gene sequencing data supervised machine learning refined features approaches yields comparable predictive performance emphasizing specific microbial featuresbacteroides prevotella fusobacterium lysinibacillus blautia sphingomonas faecalibacteriumas key predicting patient conditions raw data