Literature DB >> 30034293

Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration.

Jeffrey S Morris1, Veerabhadran Baladandayuthapani1.   

Abstract

We thank the discussants for their kind comments and their insightful analysis and discussion that has substantially added to the contribution of this issue. Overall, it seems the discussants have affirmed many of our primary points, and have also raised a number of other relevant and important issues that we did not emphasize in the paper. Several common threads emerged from these discussions, including the importance of software development, appropriate dissemination, and close collaboration with biomedical scientists and technology experts in order to ensure our work is relevant and impactful. Each discussant also mentioned other areas of bioinformatics that have been impacted by statistical researchers that we did not highlight in the original paper. In response, we will first summarize discuss these general themes, and then respond to specific comments of each discussant, and finally talk about the additional areas of bioinformatics impacted by statisticians that were mentioned by the reviewers.

Entities:  

Year:  2017        PMID: 30034293      PMCID: PMC6052864          DOI: 10.1177/1471082X17728576

Source DB:  PubMed          Journal:  Stat Modelling        ISSN: 1471-082X            Impact factor:   2.039


  2 in total

1.  Inferring network structure in non-normal and mixed discrete-continuous genomic data.

Authors:  Anindya Bhadra; Arvind Rao; Veerabhadran Baladandayuthapani
Journal:  Biometrics       Date:  2017-04-24       Impact factor: 2.571

2.  TCGA-assembler: open-source software for retrieving and processing TCGA data.

Authors:  Yitan Zhu; Peng Qiu; Yuan Ji
Journal:  Nat Methods       Date:  2014-06       Impact factor: 28.547

  2 in total

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