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Breast Cancer

Free Subscription Articles published in PLoS Comput Biol Retrieve available abstracts of 36 articles: HTML format

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March 2021
1. CLIMENTE-GONZALEZ H, Lonjou C, Lesueur F, Stoppa-Lyonnet D, et al
   Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer.
   PLoS Comput Biol. 2021;17:e1008819.
   PubMed     Abstract available
   
   
   February 2021
2. BEN-ELAZAR S, Aure MR, Jonsdottir K, Leivonen SK, et al
   miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.
   PLoS Comput Biol. 2021;17:e1008608.
   PubMed     Abstract available
   
   
   January 2021
3. GORDIN M, Philip H, Zilberberg A, Gidoni M, et al
   Breast cancer is marked by specific, Public T-cell receptor CDR3 regions shared by mice and humans.
   PLoS Comput Biol. 2021;17:e1008486.
   PubMed     Abstract available
   
   
   November 2020
4. SETHI R, Becker J, Graaf J, Lower M, et al
   Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.
   PLoS Comput Biol. 2020;16:e1008397.
   PubMed     Abstract available
   
   
   September 2020
5. VAN DER KLOET FM, Buurmans J, Jonker MJ, Smilde AK, et al
   Increased comparability between RNA-Seq and microarray data by utilization of gene sets.
   PLoS Comput Biol. 2020;16:e1008295.
   PubMed     Abstract available
   
   
   August 2020
6. LI X, Liu L, Goodall GJ, Schreiber A, et al
   A novel single-cell based method for breast cancer prognosis.
   PLoS Comput Biol. 2020;16:e1008133.
   PubMed     Abstract available
   
   
   July 2020
7. LE TTT, Adler FR
   Is mammography screening beneficial: An individual-based stochastic model for breast cancer incidence and mortality.
   PLoS Comput Biol. 2020;16:e1008036.
   PubMed     Abstract available
   
   
   May 2020
8. WANG L, You ZH, Li YM, Zheng K, et al
   GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm.
   PLoS Comput Biol. 2020;16:e1007568.
   PubMed     Abstract available
   
   
   April 2020
9. ZHANG J, Xu T, Liu L, Zhang W, et al
   LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.
   PLoS Comput Biol. 2020;16:e1007851.
   PubMed     Abstract available
   
   
   
10. YANG KD, Damodaran K, Venkatachalapathy S, Soylemezoglu AC, et al
    Predicting cell lineages using autoencoders and optimal transport.
    PLoS Comput Biol. 2020;16:e1007828.
    PubMed     Abstract available
    
    
    
11. VSEVOLOZHSKAYA OA, Shi M, Hu F, Zaykin DV, et al
    DOT: Gene-set analysis by combining decorrelated association statistics.
    PLoS Comput Biol. 2020;16:e1007819.
    PubMed     Abstract available
    
    
    February 2020
12. SCHAADT NS, Schonmeyer R, Forestier G, Brieu N, et al
    Graph-based description of tertiary lymphoid organs at single-cell level.
    PLoS Comput Biol. 2020;16:e1007385.
    PubMed     Abstract available
    
    
    January 2020
13. PADMANABAN V, Tsehay Y, Cheung KJ, Ewald AJ, et al
    Between-tumor and within-tumor heterogeneity in invasive potential.
    PLoS Comput Biol. 2020;16:e1007464.
    PubMed     Abstract available
    
    
    December 2019
14. KONIG SM, Rissler V, Terkelsen T, Lambrughi M, et al
    Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level.
    PLoS Comput Biol. 2019;15:e1007485.
    PubMed     Abstract available
    
    
    
15. WANG Y, Chen S, Chen L, Wang Y, et al
    Associating lncRNAs with small molecules via bilevel optimization reveals cancer-related lncRNAs.
    PLoS Comput Biol. 2019;15:e1007540.
    PubMed     Abstract available
    
    
    
16. PHAM VVH, Liu L, Bracken CP, Goodall GJ, et al
    CBNA: A control theory based method for identifying coding and non-coding cancer drivers.
    PLoS Comput Biol. 2019;15:e1007538.
    PubMed     Abstract available
    
    
    October 2019
17. CHAPMAN MP, Risom T, Aswani AJ, Langer EM, et al
    Correction: Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer.
    PLoS Comput Biol. 2019;15:e1007441.
    PubMed     Abstract available
    
    
    April 2019
18. VARENNES J, Moon HR, Saha S, Mugler A, et al
    Physical constraints on accuracy and persistence during breast cancer cell chemotaxis.
    PLoS Comput Biol. 2019;15:e1006961.
    PubMed     Abstract available
    
    
    March 2019
19. CHAPMAN MP, Risom T, Aswani AJ, Langer EM, et al
    Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer.
    PLoS Comput Biol. 2019;15:e1006840.
    PubMed     Abstract available
    
    
    
20. DE ALMEIDA BP, Vieira AF, Paredes J, Bettencourt-Dias M, et al
    Pan-cancer association of a centrosome amplification gene expression signature with genomic alterations and clinical outcome.
    PLoS Comput Biol. 2019;15:e1006832.
    PubMed     Abstract available
    
    
    February 2019
21. RUFFALO M, Thomas R, Chen J, Lee AV, et al
    Network-guided prediction of aromatase inhibitor response in breast cancer.
    PLoS Comput Biol. 2019;15:e1006730.
    PubMed     Abstract available
    
    
    
22. ALLAHYAR A, Ubels J, de Ridder J
    A data-driven interactome of synergistic genes improves network-based cancer outcome prediction.
    PLoS Comput Biol. 2019;15:e1006657.
    PubMed     Abstract available
    
    
    
23. DAMIANI C, Maspero D, Di Filippo M, Colombo R, et al
    Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.
    PLoS Comput Biol. 2019;15:e1006733.
    PubMed     Abstract available
    
    
    October 2018
24. BISMEIJER T, Canisius S, Wessels LFA
    Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis.
    PLoS Comput Biol. 2018;14:e1006520.
    PubMed     Abstract available
    
    
    September 2018
25. LYU Y, Xue L, Zhang F, Koch H, et al
    Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.
    PLoS Comput Biol. 2018;14:e1006436.
    PubMed     Abstract available
    
    
    June 2018
26. SHIN SY, Muller AK, Verma N, Lev S, et al
    Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer.
    PLoS Comput Biol. 2018;14:e1006192.
    PubMed     Abstract available
    
    
    May 2018
27. RANGAN AV, McGrouther CC, Kelsoe J, Schork N, et al
    A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
    PLoS Comput Biol. 2018;14:e1006105.
    PubMed     Abstract available
    
    
    February 2018
28. GHAFFARIZADEH A, Heiland R, Friedman SH, Mumenthaler SM, et al
    PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.
    PLoS Comput Biol. 2018;14:e1005991.
    PubMed     Abstract available
    
    
    
29. SHIMONI Y
    Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification.
    PLoS Comput Biol. 2018;14:e1006026.
    PubMed     Abstract available
    
    
    
30. SUN JX, He Y, Sanford E, Montesion M, et al
    A computational approach to distinguish somatic vs. germline origin of genomic alterations from deep sequencing of cancer specimens without a matched normal.
    PLoS Comput Biol. 2018;14:e1005965.
    PubMed     Abstract available
    
    
    January 2018
31. ENGEL M, Longden J, Ferkinghoff-Borg J, Robin X, et al
    Bowhead: Bayesian modelling of cell velocity during concerted cell migration.
    PLoS Comput Biol. 2018;14:e1005900.
    PubMed     Abstract available
    
    
    November 2017
32. PATKAR S, Magen A, Sharan R, Hannenhalli S, et al
    A network diffusion approach to inferring sample-specific function reveals functional changes associated with breast cancer.
    PLoS Comput Biol. 2017;13:e1005793.
    PubMed     Abstract available
    
    
    October 2017
33. GABASOVA E, Reid J, Wernisch L
    Clusternomics: Integrative context-dependent clustering for heterogeneous datasets.
    PLoS Comput Biol. 2017;13:e1005781.
    PubMed     Abstract available
    
    
    
34. ROMAN T, Xie L, Schwartz R
    Automated deconvolution of structured mixtures from heterogeneous tumor genomic data.
    PLoS Comput Biol. 2017;13:e1005815.
    PubMed     Abstract available
    
    
    September 2017
35. DUMEAUX V, Fjukstad B, Fjosne HE, Frantzen JO, et al
    Interactions between the tumor and the blood systemic response of breast cancer patients.
    PLoS Comput Biol. 2017;13:e1005680.
    PubMed     Abstract available
    
    
    
36. SOLER-OLIVA ME, Guerrero-Martinez JA, Bachetti V, Reyes JC, et al
    Analysis of the relationship between coexpression domains and chromatin 3D organization.
    PLoS Comput Biol. 2017;13:e1005708.
    PubMed     Abstract available
    
    

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