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Literature DB >> 31907477

Method of the Year 2019: Single-cell multimodal omics.

Abstract

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Proteome

Year: 2020 PMID： 31907477 DOI： 10.1038/s41592-019-0703-5

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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Cited

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19 in total

Review 1. Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Authors: Carolina Roselli; Michiel Rienstra; Patrick T Ellinor
Journal: Circ Res Date: 2020-06-18 Impact factor: 17.367

Review 2. Human placental biology at single-cell resolution: a contemporaneous review.

Authors: E R Barrozo; K M Aagaard
Journal: BJOG Date: 2021-11-18 Impact factor: 6.531

Review 3. Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Authors: Anjun Ma; Adam McDermaid; Jennifer Xu; Yuzhou Chang; Qin Ma
Journal: Trends Biotechnol Date: 2020-03-26 Impact factor: 19.536

Review 4. New horizons in the stormy sea of multimodal single-cell data integration.

Authors: Christopher A Jackson; Christine Vogel
Journal: Mol Cell Date: 2022-01-20 Impact factor: 17.970

Review 5. Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.

Authors: Yusuke Kawashima; Ryuta Nishikomori; Osamu Ohara
Journal: Inflamm Regen Date: 2021-07-01

6. Bi-order multimodal integration of single-cell data.

Authors: Jinzhuang Dou; Shaoheng Liang; Vakul Mohanty; Qi Miao; Yuefan Huang; Qingnan Liang; Xuesen Cheng; Sangbae Kim; Jongsu Choi; Yumei Li; Li Li; May Daher; Rafet Basar; Katayoun Rezvani; Rui Chen; Ken Chen
Journal: Genome Biol Date: 2022-05-09 Impact factor: 17.906

Method of the Year 2019: Single-cell multimodal omics.

Review 1. Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Review 2. Human placental biology at single-cell resolution: a contemporaneous review.

Review 3. Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Review 4. New horizons in the stormy sea of multimodal single-cell data integration.

Review 5. Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.

6. Bi-order multimodal integration of single-cell data.

7. Genetically Encoded Fluorescent Indicators for Imaging Brain Chemistry.

8. CITEMO^XMBD: A flexible single-cell multimodal omics analysis framework to reveal the heterogeneity of immune cells.

9. Machine Learning, COVID-19 (2019-nCoV), and multi-OMICS.

Review 10. Single cell gene regulatory networks in plants: Opportunities for enhancing climate change stress resilience.

Method of the Year 2019: Single-cell multimodal omics.

Review 1. Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Review 2. Human placental biology at single-cell resolution: a contemporaneous review.

Review 3. Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Review 4. New horizons in the stormy sea of multimodal single-cell data integration.

Review 5. Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.

6. Bi-order multimodal integration of single-cell data.

7. Genetically Encoded Fluorescent Indicators for Imaging Brain Chemistry.

8. CITEMOXMBD: A flexible single-cell multimodal omics analysis framework to reveal the heterogeneity of immune cells.

9. Machine Learning, COVID-19 (2019-nCoV), and multi-OMICS.

Review 10. Single cell gene regulatory networks in plants: Opportunities for enhancing climate change stress resilience.

8. CITEMO^XMBD: A flexible single-cell multimodal omics analysis framework to reveal the heterogeneity of immune cells.