Yalan He

Filter paper loaded with Ag nanocubes serves as a SERS platform for detecting thiram in fruit

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals

IDMIR: identification of dysregulated miRNAs associated with disease based on a miRNA–miRNA interaction network constructed through gene expression data

CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk

ssMutPA: single-sample mutation-based pathway analysis approach for cancer precision medicine

PathwayTMB: A pathway-based tumor mutational burden analysis method for predicting the clinical outcome of cancer immunotherapy

A pathway-based mutation signature to predict the clinical outcomes and response to CTLA-4 inhibitors in melanoma

Gold nanoparticles prepared with the aid of deep eutectic solvent and used as substrates for surface-enhanced Raman scattering

Pan‐cancer analysis reveals sex‐specific signatures in the tumor microenvironment

A novel pathway mutation perturbation score predicts the clinical outcomes of immunotherapy

DrugSim2DR: systematic prediction of drug functional similarities in the context of specific disease for drug repurposing

Rapid synthesis of Ag nanosheets and deep insights into the link between the morphology and SERS performance

Development and Validation of a Three-Gene Prognostic Signature Based on Tumor Microenvironment for Gastric Cancer

Identification of comutation in signaling pathways to predict the clinical outcomes of immunotherapy