జర్నల్ ఆఫ్ గ్యాస్ట్రోఎంటరాలజీ అండ్ డైజెస్టివ్ డిసీజెస్

నైరూప్య

Non-linear Machine Learning Pattern Recognition and Bacteria-Metabolite Multilayers

Jessy Siban

The stomach is occupied by different microbial networks, coinciding in a powerful equilibrium. Long haul utilization of medications, for example, proton siphon inhibitors (PPIs), or bacterial contamination like Helicobacter pylori, cause huge microbial changes. However, contemplates uncovering how the commensal microbes re-put together, because of these irritations of the gastric climate, are in beginning stage and depend essentially on straight methods for multivariate examination. Here we reveal the significance of supplementing straight dimensionality decrease methods with nonlinear ones to divulge covered up designs that stay concealed by direct installing. Then, at that point, we demonstrate the benefits to finish multivariate example investigation with differential organization examination, to uncover instruments of bacterial organization re-associations which rise up out of bothers instigated by a clinical treatment (PPIs) or an irresistible state (H. pylori).

నిరాకరణ: ఈ సారాంశం ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ టూల్స్ ఉపయోగించి అనువదించబడింది మరియు ఇంకా సమీక్షించబడలేదు లేదా నిర్ధారించబడలేదు.