文章名稱引用次數(shù)

• iDNA6mA-PseKNC: Identifying DNA N-6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC53
• HomBlocks: A multiple-alignment construction pipeline for organelle phylogenomics based on locally collinear block searching39
• pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC28
• iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier27
• Effects of polymethylmethacrylate nanoplastics on Dicentrarchus labrax22
• pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC20
• pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC20
• Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure16
• Changes in circular RNA expression patterns during human foetal brain development15
• The p53-signaling pathway and colorectal cancer: Interactions between downstream p53 target genes and miRNAs15