WayScience / phenotypic_profiling

Machine learning for predicting 15 single-cell phenotypes from cell morphology profiles
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Adding supplementary LOIO figure #53

Closed gwaybio closed 9 months ago

gwaybio commented 9 months ago

Summarizing LOIO results compiled in #52 into a supplementary figure. The main LOIO figure is in #47

loio_supplement

Supplementary Figure 6. Leave-one-image-out (LOIO) analysis reveals poor performance

(A) LOIO results across three feature spaces (CellProfiler [CP], DeepProfiler [DP] and Combined [CP and DP]) compare predicted probability and prediction ranks for correct and incorrect predictions. Correct predictions generally showed higher probabilities within ranks, but many incorrect predictions had high probabilities. (B) Illumination correction (IC) and balanced models only marginally impacted LOIO across phenotypes. The bar represents how many images per phenotype were impacted by adding IC. For example, SmallIrregular phenotypes saw one more image with correct predictions after IC in both the balanced and unbalanced machine learning training approaches.

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