Identifying intracellular signaling modules and exploring pathways associated with breast cancer recurrence
Abstract Exploring complex modularization of intracellular signal transduction pathways is critical to understanding aberrant cellular responses during disease development and drug treatment. IMPALA (Inferred Modularization of PAthway LAndscapes) integrates information from high throughput gene expr...
Saved in:
Main Authors: | Xi Chen, Jinghua Gu, Andrew F. Neuwald, Leena Hilakivi-Clarke, Robert Clarke, Jianhua Xuan |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/32d612ab2fdb4044b1d63cf35aeb622a |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements.
by: Xi Chen, et al.
Published: (2021) -
A Bayesian approach for accurate de novo transcriptome assembly
by: Xu Shi, et al.
Published: (2021) -
Comprehensive Combined Proteomics and Genomics Analysis Identifies Prognostic Related Transcription Factors in Breast Cancer and Explores the Role of DMAP1 in Breast Cancer
by: Xuan Li, et al.
Published: (2021) -
Identifying patients at high risk of breast cancer recurrence: strategies to improve patient outcomes
by: Martei YM, et al.
Published: (2015) -
CTI-2 Inhibits Metastasis and Epithelial-Mesenchymal Transition of Breast Cancer Cells by Modulating MAPK Signaling Pathway
by: Junfeng Ke, et al.
Published: (2021)