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By B. S. Kamps et al.

  Breast Cancer

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Articles published in PLoS Comput Biol

Retrieve available abstracts of 28 articles:
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Single Articles

    May 2024
  1. BENZEKRY S, Mastri M, Nicolo C, Ebos JML, et al
    Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.
    PLoS Comput Biol. 2024;20:e1012088.
    PubMed     Abstract available

    January 2024
  2. ZOU J, Shah O, Chiu YC, Ma T, et al
    Systems approach for congruence and selection of cancer models towards precision medicine.
    PLoS Comput Biol. 2024;20:e1011754.
    PubMed     Abstract available

    November 2023
  3. ROMERO-ARIAS JR, Gonzalez-Castro CA, Ramirez-Santiago G
    A multiscale model of the role of microenvironmental factors in cell segregation and heterogeneity in breast cancer development.
    PLoS Comput Biol. 2023;19:e1011673.
    PubMed     Abstract available

    August 2023
  4. 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
  5. 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

  6. 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
  7. 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

  8. 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
  9. 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

  10. 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
  11. 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
  12. 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

  13. 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
  14. 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
  15. 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

  16. 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

  17. 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

  18. 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
  19. 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
  20. 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

  21. 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
  22. LEE HG, Lee KJ
    Neighbor-enhanced diffusivity in dense, cohesive cell populations.
    PLoS Comput Biol. 2021;17:e1009447.
    PubMed     Abstract available

  23. 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
  24. 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

  25. 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
  26. 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

  27. 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

  28. 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

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