2019 China Symposium on Single-Cell Genomics.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 244, doi. 10.1007/s40484-019-0178-5
- By:
- Publication type:
- Article
Works matching IS 20954689 AND DT 2019 AND VI 7 AND IP 3
Results: 7
1
2
Applications of single-cell technology on bacterial analysis.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 171, doi. 10.1007/s40484-019-0177-6
- By:
- Publication type:
- Article
3
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 202, doi. 10.1007/s40484-019-0176-7
- By:
- Publication type:
- Article
4
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 233, doi. 10.1007/s40484-019-0175-8
- By:
- Publication type:
- Article
5
Identification of candidate disease genes in patients with common variable immunodeficiency.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 190, doi. 10.1007/s40484-019-0174-9
- By:
- Publication type:
- Article
6
Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 210, doi. 10.1007/s40484-019-0173-x
- By:
- Publication type:
- Article
7
Computational prediction and functional analysis of arsenic-binding proteins in human cells.
- Published in:
- Quantitative Biology, 2019, v. 7, n. 3, p. 182, doi. 10.1007/s40484-019-0169-6
- By:
- Publication type:
- Article