Area of research
Cardiology and Cardiovascular Medicine · Cognitive Neuroscience
Research interest
Research focused on Artificial intelligence and Glial fibrillary acidic protein, with related work in Pancreatic cancer, Angiogenesis, Root (linguistics). Notable publications include 'A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction', 'Autoimmune Glial Fibrillary Acidic Protein Astrocytopathy Is Associated with HLA‐A *3303 and HLA‐DPB1 *0501', and 'Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line'.
Adaptation of plateau frog peptide: From antimicrobial to angiogenic and proliferative functions
MeJA promotes root growth through BcWRKY33A-BcASA1 module in Bok choy
A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
Autoimmune Glial Fibrillary Acidic Protein Astrocytopathy Is Associated with <scp>HLA‐A</scp>*3303 and <scp>HLA‐DPB1</scp>*0501
Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line