Age-adjusted machine learning to identify microbes associated with skin quality in Korean skin microbiome data.

Age-adjusted machine learning to identify microbes associated with skin quality in Korean skin microbiome data.

Please use Park et al. Age-adjusted machine learning to identify microbes associated with skin quality in Korean skin microbiome data. Microbiome. (2026) to cite our data.
Search microbe in your interest to predict skin quality effects.

Microbe

Click a microbe name from the heatmap, or type a microbe name below to view its effects on skin quality across age groups.

Cutibacterium_granulosum Corynebacterium_propinquum Corynebacterium_durum Streptococcus_sanguinis Streptococcus_salivarius Cutibacterium_acnes Neisseria_elongata Rothia_aeria Corynebacterium_argentoratense Corynebacterium_glucuronolyticum Neisseria_bacilliformis Staphylococcus_lugdunensis Corynebacterium_simulans Staphylococcus_pasteuri

Young

Middle

Old

Microbe Heatmap

Legend

(Deteriorated) (Improved)

Structural Bioinformatics Lab X COSMAXBTI