High‐resolution mapping of cancer cell networks using co‐functional interactions-Reference-Cited by-同舟云学术

High‐resolution mapping of cancer cell networks using co‐functional interactions

Published:2018-12 Issue:12 Volume:14 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Boyle Evan A¹^ORCID,Pritchard Jonathan K¹²³,Greenleaf William J¹⁴^ORCID

Affiliation:

1. Department of Genetics Stanford University Stanford CA USA

2. Department of Biology Stanford University Stanford CA USA

3. Howard Hughes Medical Institute Stanford CA USA

4. Chan Zuckerberg Biohub San Francisco CA USA

Funder

Howard Hughes Medical Institute

National Science Foundation

National Institutes of Health

Rita Allen Foundation

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20188594

Reference66 articles.

1. Genomic Copy Number Dictates a Gene-Independent Cell Response to CRISPR/Cas9 Targeting

2. Gene Ontology: tool for the unification of biology

3. Network biology: understanding the cell's functional organization

4. Network medicine: a network-based approach to human disease

5. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Cited by 64 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. Comparative transcriptomic study on the ovarian cancer between chicken and human;Poultry Science;2024-09

2. BaCoN (Balanced Correlation Network) improves prediction of gene buffering;2024-07-04

3. A disease-associated PPP2R3C-MAP3K1 phospho-regulatory module controls centrosome function;2024-04-03

4. Dimensionality reduction methods for extracting functional networks from large‐scale CRISPR screens;Molecular Systems Biology;2023-09-26

5. Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal;Genome Biology;2023-08-23