December 2022
1. CHEN X, Chen L, Kurten CHL, Jabbari F, et al
   An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.
   PLoS Comput Biol. 2022;18:e1010761.
   

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   February 2022
2. ASTONO IP, Welsh JS, Rowe CW, Jobling P, et al
   Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning.
   PLoS Comput Biol. 2022;18:e1009912.
   

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   November 2021
3. DEVLIN SM, Martin A, Ostrovnaya I
   Identifying prognostic pairwise relationships among bacterial species in microbiome studies.
   PLoS Comput Biol. 2021;17:e1009501.
   

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   August 2021
4. TEWARI P, Kashdan E, Walsh C, Martin CM, et al
   Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling.
   PLoS Comput Biol. 2021;17:e1009289.
   

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   July 2021
5. 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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   May 2021
6. LUEBECK GE, Vaughan TL, Curtius K, Hazelton WD, et al
   Modeling historic incidence trends implies early field cancerization in esophageal squamous cell carcinoma.
   PLoS Comput Biol. 2021;17:e1008961.
   

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