posted by organizer: kmcooper || 1541 views || tracked by 2 users: [display]

RROBIN 2019 : The Second Annual Workshop on Reproducibility and Robustness in Biological Data Analysis and Integration


When Sep 7, 2019 - Sep 10, 2019
Where Niagara Falls, NY
Submission Deadline May 27, 2019
Notification Due Jul 15, 2017
Final Version Due Aug 5, 2019
Categories    bioinformatics   reproducibility   systems biology   biomedical informatics

Call For Papers

Recent progress in high-throughput technology has generated vast amounts of data. Determining how to obtain valuable knowledge from such massive raw data is a challenging issue in biomedical research and consequently developing advanced data analysis tools for bioinformatics is an important research area. While a number of methods for extracting knowledge from data are available, there has been very little work on ensuring the robustness, reproducibility, or consistency of the results. This creates a lack of confidence in bioinformatics methods as well as a lack of the “bench to bedside” connection desired of biomedical and clinical research. Particularly, these reservations stem from a lack of testing on the reliability of the model. Guaranteeing reproducibility, rigor, and consistency analysis represents an important step toward better understanding of the critical noise versus signal issue in bioinformatics models. Our workshop aims to bring together researchers in data analysis and bioinformatics, as well as wet-lab biologists, to discuss the importance of reproducibility and consistency of biological data and methods to achieve it particularly in the context of network analysis.
The target audience of the workshop is bioinformaticians, biologists conducting “wet lab” or “at the bench” experiments, data analysts, and computational scientists who can collaborate together to improve and test the rigor and robustness of current methods in data analytics. We also hope to attract the attention of physicians and healthcare providers who are waiting patiently for decisive evidences to adopt results obtained from the Bioinformatics community. The workshop program will include a keynote talk, a panel, and peer-reviewed contributed papers.
The objective of our workshop is to promote awareness of the need for rigor in biological data and to highlight methods that can improve the correctness of data analysis. The workshop will address these issues with a particular focus on the following objectives:
Disseminate knowledge about the current state of the multidisciplinary field of network modeling in bioinformatics and biomedical informatics as it relates to current big data trends.
Promote the use of advanced network analysis in extracting knowledge from big data associated with biomedical informatics and medical research
Encourage the development of a standard for big biomedical data research that utilizes existing science about complex systems including network theory, game theory, pattern formation, decision support and non-linear dynamics.

We welcomes original submissions that have not been published and that are not under review. Accepted papers will be published in the ACM-BCB conference proceedings and appear in the ACM Digital Library (note that ACM copyright permissions are directly compatible with NIH and similar open-access policies, see for more information).

Related Resources

IDA 2020   The 18th International Symposium on Intelligent Data Analysis (IDA 2020)
CSBio 2020   The 11th International Conference on Computational Systems-Biology and Bioinformatics
FDAE_AI_BDA 2020   Special Issue on Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics
MDA AI&PR 2021   16th International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition
BIBM 2020   Bioinformatics and Biomedicine
CISDM 2020   2020 2nd Euro-Asia Conference on Information System and Data Mining (CISDM 2020)
ICBEB--Ei Compendex and Scopus 2020   2020 4th International Conference on Biomedical Engineering and Bioinformatics (ICBEB 2020)--Ei Compendex, Scopus
MLDM 2021   17th International Conference on Machine Learning and Data Mining
PESARO 2020   The Tenth International Conference on Performance, Safety and Robustness in Complex Systems and Applications