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          <dc:title>&lt;p&gt;Supplementary Tables S1-S11.&lt;/p&gt;</dc:title>
          <dc:creator>Bing Tang (149357)</dc:creator>
          <dc:creator>Yanru Chen (3956117)</dc:creator>
          <dc:creator>Xia Yang (46748)</dc:creator>
          <dc:creator>Hanlin Gong (317102)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Virology</dc:subject>
          <dc:subject>transcriptomics datasets suggests</dc:subject>
          <dc:subject>top predictive feature</dc:subject>
          <dc:subject>pseudotime trajectory inference</dc:subject>
          <dc:subject>proportion far exceeds</dc:subject>
          <dc:subject>multiple sensitivity analyses</dc:subject>
          <dc:subject>including oxidative stress</dc:subject>
          <dc:subject>carcinoma progression rate</dc:subject>
          <dc:subject>bootstrap selection frequency</dc:subject>
          <dc:subject>like metabolic state</dc:subject>
          <dc:subject>like metabolic similarity</dc:subject>
          <dc:subject>continuous metabolic trajectory</dc:subject>
          <dc:subject>integrative computational framework</dc:subject>
          <dc:subject>complete analysis code</dc:subject>
          <dc:subject>055 ), consistent</dc:subject>
          <dc:subject>top lipid candidate</dc:subject>
          <dc:subject>public fecal lipidomics</dc:subject>
          <dc:subject>molecule trend verification</dc:subject>
          <dc:subject>independent test set</dc:subject>
          <dc:subject>full model replication</dc:subject>
          <dc:subject>explore potential tissue</dc:subject>
          <dc:subject>early event marker</dc:subject>
          <dc:subject>computational study suggests</dc:subject>
          <dc:subject>cohort feature overlap</dc:subject>
          <dc:subject>integrative computational analysis</dc:subject>
          <dc:subject>pathway metabolites ).</dc:subject>
          <dc:subject>known clinical adenoma</dc:subject>
          <dc:subject>mrs threshold derived</dc:subject>
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          <dc:subject>integrative analysis</dc:subject>
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          <dc:subject>tumor tissue</dc:subject>
          <dc:subject>study id</dc:subject>
          <dc:subject>early adenoma</dc:subject>
          <dc:subject>diagnostic model</dc:subject>
          <dc:subject>clinical diagnostic</dc:subject>
          <dc:subject>candidate association</dc:subject>
          <dc:subject>accumulation trend</dc:subject>
          <dc:subject>864 ).</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>transcriptomic data</dc:subject>
          <dc:subject>stromal cells</dc:subject>
          <dc:subject>research instrument</dc:subject>
          <dc:subject>publicly archived</dc:subject>
          <dc:subject>ptgs2 &lt;/</dc:subject>
          <dc:subject>predominant expression</dc:subject>
          <dc:description>&lt;p&gt;This file contains Supplementary Tables S1-S11 in a single Excel workbook. S1 Table: TCGA-COAD differential expression statistics. S2 Table: Single-cell expression metrics. S3 Table: Detailed diagnostic performance metrics. S4 Table: Feature coefficient and importance scores. S5 Table: Multi-model comparison. S6 Table: Feature overlap between cohorts. S7 Table: Sensitivity analysis of missing value imputation. S8 Table: Kruskal-Wallis test results. S9 Table: Dunn’s post-hoc comparisons. S10 Table: Wilcoxon rank-sum validation. S11 Table: LASSO bootstrap stability analysis.&lt;/p&gt; &lt;p&gt;(XLSX)&lt;/p&gt;</dc:description>
          <dc:date>2026-09-25T17:49:50Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0358259.s002</dc:identifier>
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