Area of research
Molecular Biology · Nature and Landscape Conservation
Research interest
Research focused on Feature (linguistics) and Transactivation, with related work in Preeclampsia, Pancreatic cancer, Cancer research. Notable publications include 'The Early Prediction of Common Disorders in Dairy Cows Monitored by Automatic Systems with Machine Learning Algorithms', 'NR2F2 inhibits Smad7 expression and promotes TGF-β-dependent epithelial-mesenchymal transition of CRC via transactivation of miR-21', and 'A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery'.
A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery
The Early Prediction of Common Disorders in Dairy Cows Monitored by Automatic Systems with Machine Learning Algorithms
Research progress of reduced amino acid alphabets in protein analysis and prediction
Pancreatic Cancer Biomarker Detection By Two Support Vector Strategies for Recursive Feature Elimination
NR2F2 inhibits Smad7 expression and promotes TGF-β-dependent epithelial-mesenchymal transition of CRC via transactivation of miR-21