188 related articles for article (PubMed ID: 32663470)
1. Single-Cell Analyses in the Multi-omics Era.
Cancer Cell; 2020 Jul; 38(1):9-10. PubMed ID: 32663470
[No Abstract] [Full Text] [Related]
2. Computational modelling in single-cell cancer genomics: methods and future directions.
Zhang AW; Campbell KR
Phys Biol; 2020 Sep; 17(6):061001. PubMed ID: 32759485
[TBL] [Abstract][Full Text] [Related]
3. Computing tumor trees from single cells.
Davis A; Navin NE
Genome Biol; 2016 May; 17(1):113. PubMed ID: 27230879
[TBL] [Abstract][Full Text] [Related]
4. Advancing Cancer Research and Medicine with Single-Cell Genomics.
Lim B; Lin Y; Navin N
Cancer Cell; 2020 Apr; 37(4):456-470. PubMed ID: 32289270
[TBL] [Abstract][Full Text] [Related]
5. Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes.
Heo YJ; Hwa C; Lee GH; Park JM; An JY
Mol Cells; 2021 Jul; 44(7):433-443. PubMed ID: 34238766
[TBL] [Abstract][Full Text] [Related]
6. Systems biology intertwines with single cell and AI.
Wang Y; Zhang XS; Chen L
BMC Bioinformatics; 2019 May; 20(Suppl 7):204. PubMed ID: 31074375
[TBL] [Abstract][Full Text] [Related]
7. Single-cell genomics technology: perspectives.
Hong TH; Park WY
Exp Mol Med; 2020 Sep; 52(9):1407-1408. PubMed ID: 32929223
[No Abstract] [Full Text] [Related]
8. Spatially resolved single-cell genomics and transcriptomics by imaging.
Zhuang X
Nat Methods; 2021 Jan; 18(1):18-22. PubMed ID: 33408406
[TBL] [Abstract][Full Text] [Related]
9. Onco-Multi-OMICS Approach: A New Frontier in Cancer Research.
Chakraborty S; Hosen MI; Ahmed M; Shekhar HU
Biomed Res Int; 2018; 2018():9836256. PubMed ID: 30402498
[TBL] [Abstract][Full Text] [Related]
10. Cancer Informatics: New Tools for a Data-Driven Age in Cancer Research.
Kibbe W; Klemm J; Quackenbush J
Cancer Res; 2017 Nov; 77(21):e1-e2. PubMed ID: 29092926
[No Abstract] [Full Text] [Related]
11. Spatially resolved transcriptomics adds a new dimension to genomics.
Larsson L; Frisén J; Lundeberg J
Nat Methods; 2021 Jan; 18(1):15-18. PubMed ID: 33408402
[No Abstract] [Full Text] [Related]
12. Q-omics: Smart Software for Assisting Oncology and Cancer Research.
Lee J; Kim Y; Jin S; Yoo H; Jeong S; Jeong E; Yoon S
Mol Cells; 2021 Nov; 44(11):843-850. PubMed ID: 34819397
[TBL] [Abstract][Full Text] [Related]
13. The Need for Multi-Omics Biomarker Signatures in Precision Medicine.
Olivier M; Asmis R; Hawkins GA; Howard TD; Cox LA
Int J Mol Sci; 2019 Sep; 20(19):. PubMed ID: 31561483
[TBL] [Abstract][Full Text] [Related]
14. Interpretable deep learning in single-cell omics.
Wagle MM; Long S; Chen C; Liu C; Yang P
Bioinformatics; 2024 Jun; 40(6):. PubMed ID: 38889275
[TBL] [Abstract][Full Text] [Related]
15. Advances and applications of single-cell sequencing technologies.
Wang Y; Navin NE
Mol Cell; 2015 May; 58(4):598-609. PubMed ID: 26000845
[TBL] [Abstract][Full Text] [Related]
16. More Pitfalls Related to Next-generation Sequencing (NGS).
Sorscher S
Am J Clin Oncol; 2016 Aug; 39(4):424. PubMed ID: 27465427
[No Abstract] [Full Text] [Related]
17. Cognitive computing, paired with Genomics, may benefit cancer treatment.
Printz C
Cancer; 2018 Mar; 124(5):883. PubMed ID: 29466614
[No Abstract] [Full Text] [Related]
18. Single-Cell Omics Analyses Enabled by Microchip Technologies.
Deng Y; Finck A; Fan R
Annu Rev Biomed Eng; 2019 Jun; 21():365-393. PubMed ID: 30883211
[TBL] [Abstract][Full Text] [Related]
19. Multi-omic and multi-view clustering algorithms: review and cancer benchmark.
Rappoport N; Shamir R
Nucleic Acids Res; 2018 Nov; 46(20):10546-10562. PubMed ID: 30295871
[TBL] [Abstract][Full Text] [Related]
20. French collaboration to advance data analysis.
Cancer Discov; 2014 Sep; 4(9):982. PubMed ID: 25185175
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
