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10.1177/1471082X17728576

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C6052864!6052864!30034293
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suck abstract from ncbi


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pmid30034293      Stat+Modelling 2017 ; 17 (4-5): 338-57
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  • Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration #MMPMID30034293
  • Morris JS; Baladandayuthapani V
  • Stat Modelling 2017[Aug]; 17 (4-5): 338-57 PMID30034293show ga
  • 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.
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