Predicting enhancer-promoter interaction from genomic sequence with deep neural networks
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0154-0
Progress in molecular docking
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0172-y
Emerging deep learning methods for single-cell RNA-seq data analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0189-2
A survey of web resources and tools for the study of TCM network pharmacology
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0167-8
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0188-3
Current challenges and solutions of de novo assembly
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0166-9
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0181-x
Applications of single-cell technology on bacterial analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0177-6
WIPER: Weighted in-Path Edge Ranking for biomolecular association networks
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0180-y
Insights into the antineoplastic mechanism of Chelidonium majus via systems pharmacology approach
来源期刊:Quantitative BiologyDOI:10.1007/S40484-019-0165-X
A survey of some tensor analysis techniques for biological systems
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0186-5
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0176-7
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0184-7
Molecular modeling studies of repandusinic acid as potent small molecule for hepatitis B virus through molecular docking and ADME analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0179-4
Computational prediction and functional analysis of arsenic-binding proteins in human cells
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0169-6
A model of NSCLC microenvironment predicts optimal receptor targets
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0171-z
Identification of candidate disease genes in patients with common variable immunodeficiency
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0174-9
Predicting microRNA-disease association based on microRNA structural and functional similarity network
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0170-0
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0175-8
2019 China Symposium on Single-Cell Genomics
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0178-5
Differential methylation analysis for bisulfite sequencing using DSS
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0183-8
Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0173-x