Home The Word Brain	My Amedeo FAQ Privacy About	Flying Publisher
	The Angels Initiative Stroke prevention

Breast Cancer

Free Subscription Articles published in PLoS Comput Biol Retrieve available abstracts of 25 articles: HTML format

Single Articles

August 2023
1. MURILLO OD, Petrosyan V, LaPlante EL, Dobrolecki LE, et al
   Deconvolution of cancer cell states by the XDec-SM method.
   PLoS Comput Biol. 2023;19:e1011365.
   PubMed     Abstract available
   
   
   May 2023
2. WANG S, Lee D
   Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions.
   PLoS Comput Biol. 2023;19:e1011197.
   PubMed     Abstract available
   
   
   
3. FEDERICO A, Kern J, Varelas X, Monti S, et al
   Structure learning for gene regulatory networks.
   PLoS Comput Biol. 2023;19:e1011118.
   PubMed     Abstract available
   
   
   April 2023
4. GHANNOUM S, Fantini D, Zahoor M, Reiterer V, et al
   A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression.
   PLoS Comput Biol. 2023;19:e1010995.
   PubMed     Abstract available
   
   
   
5. GUTTA C, Morhard C, Rehm M
   Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer.
   PLoS Comput Biol. 2023;19:e1011035.
   PubMed     Abstract available
   
   
   March 2023
6. SUN L, Qiu Y, Ching WK, Zhao P, et al
   PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression.
   PLoS Comput Biol. 2023;19:e1010939.
   PubMed     Abstract available
   
   
   
7. BENKIRANE H, Pradat Y, Michiels S, Cournede PH, et al
   CustOmics: A versatile deep-learning based strategy for multi-omics integration.
   PLoS Comput Biol. 2023;19:e1010921.
   PubMed     Abstract available
   
   
   October 2022
8. LALANI Z, Chu G, Hsu S, Kagawa S, et al
   CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing data.
   PLoS Comput Biol. 2022;18:e1010614.
   PubMed     Abstract available
   
   
   September 2022
9. TERNES L, Lin JR, Chen YA, Gray JW, et al
   Computational multiplex panel reduction to maximize information retention in breast cancer tissue microarrays.
   PLoS Comput Biol. 2022;18:e1010505.
   PubMed     Abstract available
   
   
   
10. MASSI MC, Dominoni L, Ieva F, Fiorito G, et al
    A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis.
    PLoS Comput Biol. 2022;18:e1009959.
    PubMed     Abstract available
    
    
    April 2022
11. LEE D, Wang D, Yang XR, Shi J, et al
    SUITOR: Selecting the number of mutational signatures through cross-validation.
    PLoS Comput Biol. 2022;18:e1009309.
    PubMed     Abstract available
    
    
    March 2022
12. HOWARD GR, Jost TA, Yankeelov TE, Brock A, et al
    Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules.
    PLoS Comput Biol. 2022;18:e1009104.
    PubMed     Abstract available
    
    
    
13. JEUKEN GS, Tobin NP, Kall L
    Survival analysis of pathway activity as a prognostic determinant in breast cancer.
    PLoS Comput Biol. 2022;18:e1010020.
    PubMed     Abstract available
    
    
    
14. MOHAMMAD MIRZAEI N, Changizi N, Asadpoure A, Su S, et al
    Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.
    PLoS Comput Biol. 2022;18:e1009953.
    PubMed     Abstract available
    
    
    
15. YAO K, Schaafsma E, Zhang B, Cheng C, et al
    Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer.
    PLoS Comput Biol. 2022;18:e1009495.
    PubMed     Abstract available
    
    
    February 2022
16. DI FILIPPO M, Pescini D, Galuzzi BG, Bonanomi M, et al
    INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation.
    PLoS Comput Biol. 2022;18:e1009337.
    PubMed     Abstract available
    
    
    November 2021
17. LIMA EABF, Faghihi D, Philley R, Yang J, et al
    Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.
    PLoS Comput Biol. 2021;17:e1008845.
    PubMed     Abstract available
    
    
    
18. MADSSEN TS, Giskeodegard GF, Smilde AK, Westerhuis JA, et al
    Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data.
    PLoS Comput Biol. 2021;17:e1009585.
    PubMed     Abstract available
    
    
    September 2021
19. LEE HG, Lee KJ
    Neighbor-enhanced diffusivity in dense, cohesive cell populations.
    PLoS Comput Biol. 2021;17:e1009447.
    PubMed     Abstract available
    
    
    
20. TRINCADO JL, Reixachs-Sole M, Perez-Granado J, Fugmann T, et al
    ISOTOPE: ISOform-guided prediction of epiTOPEs in cancer.
    PLoS Comput Biol. 2021;17:e1009411.
    PubMed     Abstract available
    
    
    July 2021
21. ROZOVA VS, Anwer AG, Guller AE, Es HA, et al
    Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.
    PLoS Comput Biol. 2021;17:e1009193.
    PubMed     Abstract available
    
    
    
22. ZHU K, Cai L, Cui C, de Los Toyos JR, et al
    Single-cell analysis reveals the pan-cancer invasiveness-associated transition of adipose-derived stromal cells into COL11A1-expressing cancer-associated fibroblasts.
    PLoS Comput Biol. 2021;17:e1009228.
    PubMed     Abstract available
    
    
    June 2021
23. HELLSTERN M, Ma J, Yue K, Shojaie A, et al
    netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis.
    PLoS Comput Biol. 2021;17:e1008979.
    PubMed     Abstract available
    
    
    
24. LAL A, Liu K, Tibshirani R, Sidow A, et al
    De novo mutational signature discovery in tumor genomes using SparseSignatures.
    PLoS Comput Biol. 2021;17:e1009119.
    PubMed     Abstract available
    
    
    
25. DEUTSCH A, Nava-Sedeno JM, Syga S, Hatzikirou H, et al
    BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.
    PLoS Comput Biol. 2021;17:e1009066.
    PubMed     Abstract available
    
    

Thank you for your interest in scientific medicine.

AMEDEO Breast Cancer is free of charge. This policy is made possible thanks to a media sponsorship by Boehringer Ingelheim. Design: