Yongchun Zuo
Orcid: 0000-0002-6065-7835
According to our database1,
Yongchun Zuo
authored at least 27 papers
between 2009 and 2024.
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Bibliography
2024
Chromatin region binning of gene expression for improving embryo cell subtype identification.
Comput. Biol. Medicine, March, 2024
2023
Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles.
Comput. Methods Programs Biomed., December, 2023
Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes.
Briefings Bioinform., November, 2023
A computational framework of routine test data for the cost-effective chronic disease prediction.
Briefings Bioinform., March, 2023
A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer.
Comput. Biol. Medicine, February, 2023
EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis.
Nucleic Acids Res., January, 2023
2022
RaacFold: a webserver for 3D visualization and analysis of protein structure by using reduced amino acid alphabets.
Nucleic Acids Res., 2022
iProbiotics: a machine learning platform for rapid identification of probiotic properties from whole-genome primary sequences.
Briefings Bioinform., 2022
2021
Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancer.
Briefings Bioinform., July, 2021
ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and N -Peptide Combination.
Comput. Math. Methods Medicine, 2021
eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition.
Bioinform., 2021
Briefings Bioinform., 2021
Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer.
Briefings Bioinform., 2021
Modular arrangements of sequence motifs determine the functional diversity of KDM proteins.
Briefings Bioinform., 2021
HelPredictor models single-cell transcriptome to predict human embryo lineage allocation.
Briefings Bioinform., 2021
2020
ICTC-RAAC: An improved web predictor for identifying the types of ion channel-targeted conotoxins by using reduced amino acid cluster descriptors.
Comput. Biol. Chem., 2020
Mining Key Regulators of Cell Reprogramming and Prediction Research Based on Deep Learning Neural Networks.
IEEE Access, 2020
2019
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule.
Database J. Biol. Databases Curation, 2019
Function determinants of TET proteins: the arrangements of sequence motifs with specific codes.
Briefings Bioinform., 2019
Transcriptome Comparisons of Multi-Species Identify Differential Genome Activation of Mammals Embryogenesis.
IEEE Access, 2019
2018
Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines.
Biosyst., 2018
IEEE Access, 2018
2017
PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition.
Bioinform., 2017
Briefings Bioinform., 2017
2013
PreDNA: accurate prediction of DNA-binding sites in proteins by integrating sequence and geometric structure information.
Bioinform., 2013
2009
Predicting Plant Pol-II Promoter Based on Subsequence Increment of Overlap Content Diversity.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
Prediction of Presynaptic and Postsynaptic Neurotoxins Using Hybrid Approach and Pseudo Amino Acid Composition.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009