Quantitative Biology 2019: Dynamic Signaling in Cells and Embryos.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 4, p. 335, doi. 10.1007/s40484-019-0190-9
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- Article
Works matching IS 20954689 AND DT 2019 AND VI 7 AND IP 4
Results: 9
1
2
Emerging deep learning methods for single-cell RNA-seq data analysis.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 247, doi. 10.1007/s40484-019-0189-2
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- Article
3
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 255, doi. 10.1007/s40484-019-0188-3
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- Article
4
A survey of some tensor analysis techniques for biological systems.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 266, doi. 10.1007/s40484-019-0186-5
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- Article
5
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 293, doi. 10.1007/s40484-019-0184-7
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- Article
6
Differential methylation analysis for bisulfite sequencing using DSS.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 327, doi. 10.1007/s40484-019-0183-8
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- Article
7
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era.
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- Quantitative Biology, 2019, v. 7, n. 4, p. 278, doi. 10.1007/s40484-019-0181-x
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- Article
8
WIPER: Weighted in-Path Edge Ranking for biomolecular association networks.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 4, p. 313, doi. 10.1007/s40484-019-0180-y
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- Article
9
Molecular modeling studies of repandusinic acid as potent small molecule for hepatitis B virus through molecular docking and ADME analysis.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 4, p. 302, doi. 10.1007/s40484-019-0179-4
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- Publication type:
- Article