40 results on '"Zou, Quan"'
Search Results
2. DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm
3. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data
4. GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remapping.
5. CircSI-SSL: circRNA-binding site identification based on self-supervised learning
6. Integrated convolution and self-attention for improving peptide toxicity prediction.
7. scTPC: a novel semisupervised deep clustering model for scRNA-seq data.
8. Revisiting drug–protein interaction prediction: a novel global–local perspective.
9. Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
10. Optimization of drug–target affinity prediction methods through feature processing schemes
11. FMAlign2: a novel fast multiple nucleotide sequence alignment method for ultralong datasets.
12. WMSA: a novel method for multiple sequence alignment of DNA sequences
13. i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites
14. Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks
15. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration
16. Predicting protein–peptide binding residues via interpretable deep learning
17. GMNN2CD: identification of circRNA–disease associations based on variational inference and graph Markov neural networks
18. NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank
19. DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA
20. BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method
21. Identification of sub-Golgi protein localization by use of deep representation learning features
22. Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers
23. DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA.
24. PaGeFinder: quantitative identification of spatiotemporal pattern genes
25. Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites
26. PPTPP: a novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning
27. StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency
28. TiSGeD: a database for tissue-specific genes
29. Iterative feature representations improve N4-methylcytosine site prediction
30. PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning
31. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
32. 4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction
33. Prediction of potential disease-associated microRNAs using structural perturbation method
34. O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique
35. Tumor origin detection with tissue-specific miRNA and DNA methylation markers
36. Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers.
37. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.
38. 4mCPred: machine learning methods for DNA N 4 -methylcytosine sites prediction.
39. Tumor origin detection with tissue-specific miRNA and DNA methylation markers.
40. HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy
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