1. Evaluating Performance of Regression and Classification Models Using Known Lung Carcinomas Prognostic Markers
   Shrikant Pawar et al, 2022, Bioinformatics and Biomedical Engineering CrossRef
2. A hybrid deep forest-based method for predicting synergistic drug combinations
   Lianlian Wu et al, 2023, Cell Reports Methods CrossRef
3. A Systematic Study of Traditional Chinese Medicine for the Treatment of Lung Adenocarcinoma Using a Reverse Network of Key Targets Based on Bioinformatics and Molecular Docking: Curcumin and Trans-Resveratrol as Potential Drug Candidates for Lung Adenocarcinoma
   Wujun Wang et al, 2023, Natural Product Communications CrossRef
4. Elucidating the Interactome of G Protein-Coupled Receptors and Receptor Activity-Modifying Proteins
   Ilana B. Kotliar et al, 2023, Pharmacological Reviews CrossRef
5. Large-Scale Two-Sample Comparison of Support Sets
   Haoyu Geng et al, 2023, Journal of the American Statistical Association CrossRef
6. Prognostic significance of AP-2α/γ targets as cancer therapeutics
   Damian Kołat et al, 2022, Scientific Reports CrossRef
7. RAMP2-AS1 inhibits CXCL11 expression to suppress malignant phenotype of breast cancer by recruiting DNMT1 and DNMT3B
   Li Li et al, 2022, Experimental Cell Research CrossRef
8. Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization
   Hao Yang Teng et al, 2022, Journal of the American Statistical Association CrossRef