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Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration.
Jeffrey S Morris1, Veerabhadran Baladandayuthapani1
1Department of Biostatistics, UT MD Anderson Cancer Center, Houston, Texas, USA.
Statistical Modelling
|July 24, 2018
Summary
Discussants affirmed key points on bioinformatics, emphasizing software development and collaboration. The response addresses feedback on statistical impact in bioinformatics and highlights new research areas.
Area of Science:
- Bioinformatics
- Statistical Research
- Computational Biology
Background:
- The original paper's contribution to bioinformatics was discussed.
- Discussants provided insightful analysis and feedback on the paper's findings.
Purpose of the Study:
- To address and incorporate feedback from discussants.
- To further elaborate on the impact of statistical research in bioinformatics.
- To highlight areas not emphasized in the original publication.
Main Methods:
- The response summarizes common themes from the discussions.
- It addresses specific comments from each discussant.
- It explores additional areas of bioinformatics impacted by statisticians.
Main Results:
- Discussants affirmed the primary points of the original paper.
- Key themes identified include software development, dissemination, and collaboration.
- New areas of statistical impact in bioinformatics were highlighted by discussants.
Conclusions:
- The feedback has substantially enriched the original contribution.
- Collaboration with biomedical scientists and technology experts is crucial for impact.
- Statistical research continues to significantly influence diverse areas of bioinformatics.
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