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Articles published in
PLoS Comput Biol
    April 2024
  1. LIU C, Xiao K, Yu C, Lei Y, et al
    A probabilistic knowledge graph for target identification.
    PLoS Comput Biol. 2024;20:e1011945.
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    January 2024
  2. ROBLES J, Prakash A, Vizcaino JA, Casal JI, et al
    Integrated meta-analysis of colorectal cancer public proteomic datasets for biomarker discovery and validation.
    PLoS Comput Biol. 2024;20:e1011828.
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    June 2023
  3. LI L, Hu Y, Xu Y, Tang S, et al
    Mathematical modeling the order of driver gene mutations in colorectal cancer.
    PLoS Comput Biol. 2023;19:e1011225.
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    March 2023
  4. HAUGHEY MJ, Bassolas A, Sousa S, Baker AM, et al
    First passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer.
    PLoS Comput Biol. 2023;19:e1010952.
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    January 2023
  5. SIMONETTO C, Mansmann U, Kaiser JC
    Shape-specific characterization of colorectal adenoma growth and transition to cancer with stochastic cell-based models.
    PLoS Comput Biol. 2023;19:e1010831.
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    November 2022
  6. MA C, Almasan A, Gurkan-Cavusoglu E
    Computational analysis of 5-fluorouracil anti-tumor activity in colon cancer using a mechanistic pharmacokinetic/pharmacodynamic model.
    PLoS Comput Biol. 2022;18:e1010685.
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    August 2022
  7. LANGE S, Mogwitz R, Hunniger D, Voss-Bohme A, et al
    Modeling age-specific incidence of colon cancer via niche competition.
    PLoS Comput Biol. 2022;18:e1010403.
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    July 2021
  8. DE ATAURI P, Tarrado-Castellarnau M, Tarrago-Celada J, Foguet C, et al
    Integrating systemic and molecular levels to infer key drivers sustaining metabolic adaptations.
    PLoS Comput Biol. 2021;17:e1009234.
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  9. THORNTON AM, Fang L, Lo A, McSharry M, et al
    eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants.
    PLoS Comput Biol. 2021;17:e1009132.
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