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Articles published in
PLoS Comput Biol
    January 2024
  1. 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.
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    November 2023
  2. 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.
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    August 2023
  3. 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.
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    May 2023
  4. WANG S, Lee D
    Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions.
    PLoS Comput Biol. 2023;19:e1011197.
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  5. FEDERICO A, Kern J, Varelas X, Monti S, et al
    Structure learning for gene regulatory networks.
    PLoS Comput Biol. 2023;19:e1011118.
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    April 2023
  6. 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.
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  7. 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.
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    March 2023
  8. 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.
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  9. 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.
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    October 2022
  10. 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.
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    September 2022
  11. 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.
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  12. 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.
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    April 2022
  13. 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.
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    March 2022
  14. 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.
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  15. JEUKEN GS, Tobin NP, Kall L
    Survival analysis of pathway activity as a prognostic determinant in breast cancer.
    PLoS Comput Biol. 2022;18:e1010020.
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  16. 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.
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  17. 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.
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    February 2022
  18. 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.
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    November 2021
  19. 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.
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  20. 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.
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    September 2021
  21. LEE HG, Lee KJ
    Neighbor-enhanced diffusivity in dense, cohesive cell populations.
    PLoS Comput Biol. 2021;17:e1009447.
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  22. 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.
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    July 2021
  23. 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.
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  24. 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.
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    June 2021
  25. 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.
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  26. 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.
    >> Share

  27. 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.
    >> Share


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