Abstract 5348: Single-cell analysis of mutational heterogeneity in acute myeloid leukemia tumors with high-throughput droplet microfluidics-Reference-Cited by-同舟云学术

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Abstract 5348: Single-cell analysis of mutational heterogeneity in acute myeloid leukemia tumors with high-throughput droplet microfluidics

Published:2018-07-01 Issue: Volume: Page:
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Container-title:Molecular and Cellular Biology / Genetics
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Author:

Eastburn Dennis J.,Pellegrino Maurizio,Sciambi Adam,Treusch Sebastian,Xu Liwen,Durruthy-Durruthy Robert,Gokhale Kaustubh,Jacob Jose,Chen Tina X.,Oldham William,Matthews Jairo,Kantarjian Hagop,Futreal Andrew,Patel Keyur,Jones Keith W.,Zehnder James L.,Takahashi Koichi

Publisher

American Association for Cancer Research

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles;Langmuir;2022-08-16

2. SCSilicon: a tool for synthetic single-cell DNA sequencing data generation;BMC Genomics;2022-05-11

3. SCYN: single cell CNV profiling method using dynamic programming;BMC Genomics;2021-11

4. Somatic variant analysis suite: copy number variation clonal visualization online platform for large-scale single-cell genomics;Briefings in Bioinformatics;2021-10-20

5. SCYN: Single cell CNV profiling method using dynamic programming;2020-03-29

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