Results 191 to 200 of about 416,781 (292)
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale. [PDF]
Colledani D +3 more
europepmc +1 more source
Both SVF and CD31+ SVF improve spontaneous osteoarthritis, but CD31+ enrichment refines the therapeutic profile rather than broadly enhancing all effects. More distinct benefits are observed in extracellular matrix remodeling, osteochondral integrity, and subchondral/trabecular bone preservation, supporting CD31+‐enriched SVF as a biologically enhanced
Sijia Zhou +16 more
wiley +1 more source
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li +13 more
wiley +1 more source
Evaluating the Efficacy of Longitudinal Coagulation Biomarkers to Predict in-Hospital Death in Comatose TBI Patients: A Time-Dependent Roc Curve Approach. [PDF]
Ebrahimi-Nejad F +5 more
europepmc +1 more source
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen +17 more
wiley +1 more source
Ready to ROC? A tutorial on simulation-based power analyses for null hypothesis significance, minimum-effect, and equivalence testing for ROC curve analyses. [PDF]
Riesthuis P, Otgaar H, Bücken C.
europepmc +1 more source
C.S. Hong, G.C. Kim, J.A. Jeong
openaire +2 more sources

