Nomogram construction and evaluation.

<p>(A) Nomogram for risk of disease. (B) Calibration curve for nomogram. (C) Decision-making tree curve for nomogram. (D) Receiver operating characteristic (ROC) curve for nomogram of training cohort. (E) ROC curve for nomogram of test cohort.</p>

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Bibliographic Details
Main Author:	Hongmin Luo (2142307) (author)
Other Authors:	Yuxuan Cao (12490494) (author), Liping Guo (596697) (author), Hui Li (32376) (author), Yingying Yuan (9674249) (author), Fan Lu (490738) (author)
Published:	2025
Subjects:	Microbiology Cell Biology Genetics Molecular Biology Evolutionary Biology Immunology Developmental Biology Marine Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified ward &# 8217 responsive protein 12 potential biological markers logistic regression analysis gene expression omnibus via different algorithms related factor 2 differentially expressed genes distinguish different phenotypes determine different phenotypes immune cell subtypes consensus clustering based immune microenvironment characteristics nomogram constructed based key genes related describe disease heterogeneity related genes key genes consensus clustering immune microenvironment related pathways jointly constructed identified via disease clustering disease phenotypes immune score xylulose reductase xlink "> study focused study aimed positively correlated new clue negatively correlated learning algorithm high enrichment high accuracy disease risk diabetic nephropathy control samples cluster c2 cluster c1 clinical traits
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Nomogram construction and evaluation.

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