Edited by Shuang Wang, Xiaoqian Jiang, XiaoFeng Wang and Haixu Tang.
Citation: BMC Medical Genomics 2018 11(Suppl 4):85
Volume 11 Supplement 4
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
Orlando, FL, USA14 October 2017
Edited by Shuang Wang, Xiaoqian Jiang, XiaoFeng Wang and Haixu Tang.
Citation: BMC Medical Genomics 2018 11(Suppl 4):85
One of the tasks in the 2017 iDASH secure genome analysis competition was to enable training of logistic regression models over encrypted genomic data. More precisely, given a list of approximately 1500 patien...
Citation: BMC Medical Genomics 2018 11(Suppl 4):81
Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appealing idea ...
Citation: BMC Medical Genomics 2018 11(Suppl 4):86
Security concerns have been raised since big data became a prominent tool in data analysis. For instance, many machine learning algorithms aim to generate prediction models using training data which contain se...
Citation: BMC Medical Genomics 2018 11(Suppl 4):83
Practical applications for data analysis may require combining multiple databases belonging to different owners, such as health centers. The analysis should be performed without violating privacy of neither th...
Citation: BMC Medical Genomics 2018 11(Suppl 4):84
One of the 3 tracks of iDASH Privacy & Security Workshop 2017 competition was to execute a whole genome variants search on private genomic data. Particularly, the search application was to find the top most si...
Citation: BMC Medical Genomics 2018 11(Suppl 4):82
Citation Impact
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3.193 - 5-year Impact Factor
0.799 - Source Normalized Impact per Paper (SNIP)
1.078 - SCImago Journal Rank (SJR)
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