494 results on '"Lee, Tzong-Yi"'
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2. BRCC3 Regulation of ALK2 in Vascular Smooth Muscle Cells: Implication in Pulmonary Hypertension
3. An ensemble deep learning model for predicting minimum inhibitory concentrations of antimicrobial peptides against pathogenic bacteria
4. KinPred-RNA—kinase activity inference and cancer type classification using machine learning on RNA-seq data
5. Roles of KLF4 and AMPK in the inhibition of glycolysis by pulsatile shear stress in endothelial cells
6. Multi-label classification and features investigation of antimicrobial peptides with various functional classes
7. KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites
8. On the force field optimisation of β-lactam cores using the force field Toolkit
9. AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest
10. Recent insights into breast milk microRNA: their role as functional regulators
11. Mysteries of gene regulation: Promoters are not the sole triggers of gene expression
12. CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
13. Multi-Omics Characterization of E3 Regulatory Patterns in Different Cancer Types.
14. Machine Learning-Based Characterization and Identification of Tertiary Lymphoid Structures Using Spatial Transcriptomics Data
15. Interpretable Multi-Scale Deep Learning for RNA Methylation Analysis across Multiple Species
16. Global characterization of macrophage polarization mechanisms and identification of M2-type polarization inhibitors
17. Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation
18. A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
19. Guided diffusion for molecular generation with interaction prompt.
20. Exploiting Two-Layer Support Vector Machine to Predict Protein SUMOylation Sites
21. Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication
22. Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning
23. PlantPAN 4.0: updated database for identifying conserved non-coding sequences and exploring dynamic transcriptional regulation in plant promoters
24. A representation and deep learning model for annotating ubiquitylation sentences stating E3 ligase - substrate interaction
25. Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides
26. PlantPAN 4.0: updated database for identifying conserved non-coding sequences and exploring dynamic transcriptional regulation in plant promoters.
27. A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning
28. DeepAFP: an effective computational framework for identifying antifungal peptides based on deep learning
29. A New Schema to Identify S-farnesyl Cysteine Prenylation Sites with Substrate Motifs
30. Characterization and identification of lysine crotonylation sites based on machine learning method on both plant and mammalian
31. StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture
32. Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data
33. Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins
34. Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques
35. Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method
36. Assessing Non-Specific Neck Pain through Pose Estimation from Images Based on Ensemble Learning.
37. A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology.
38. Exploiting Two-Layer Support Vector Machine to Predict Protein SUMOylation Sites
39. Holistic similarity-based prediction of phosphorylation sites for understudied kinases
40. Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation
41. Identification of species-specific RNA N6-methyladinosine modification sites from RNA sequences
42. Towards Accurate Identification of Antibiotic-Resistant Pathogens through the Ensemble of Multiple Preprocessing Methods Based on MALDI-TOF Spectra
43. Effect of an Artificial Intelligence-Assisted Antibiotic Susceptibility Test on Reducing the Mortality Rate of and Antibiotics Use in Patients with Bacteremia: A Prospective Observational Cohort Study
44. Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach
45. Identification of potential biomarkers related to glioma survival by gene expression profile analysis
46. Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach
47. Application of Computational Biology and Artificial Intelligence in Drug Design
48. Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities
49. Bioinformatics resources for understanding RNA modifications
50. Effect of an Artificial Intelligence-assisted Antibiotic Susceptibility Test on Reducing the Mortality Rate of and Antibiotics Use in Patients with Bacteremia: A Prospective Observational Cohort Study
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