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Colorectal Neoplasms

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Articles published in
PLoS Comput Biol
    January 2021
  1. BEAL J, Pantolini L, Noel V, Barillot E, et al
    Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers.
    PLoS Comput Biol. 2021;17:e1007900.
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    May 2020
  2. 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.
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    February 2020
  3. LANG BM, Kuipers J, Misselwitz B, Beerenwinkel N, et al
    Predicting colorectal cancer risk from adenoma detection via a two-type branching process model.
    PLoS Comput Biol. 2020;16:e1007552.
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    November 2019
  4. KHAKABIMAMAGHANI S, Ding D, Snow O, Ester M, et al
    Uncovering the subtype-specific temporal order of cancer pathway dysregulation.
    PLoS Comput Biol. 2019;15:e1007451.
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    June 2018
  5. MUNRO D, Ghersi D, Singh M
    Two critical positions in zinc finger domains are heavily mutated in three human cancer types.
    PLoS Comput Biol. 2018;14:e1006290.
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    April 2018
  6. GIBBONS SM, Duvallet C, Alm EJ
    Correcting for batch effects in case-control microbiome studies.
    PLoS Comput Biol. 2018;14:e1006102.
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    February 2018
    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.
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  8. 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.
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