Edited by Pavel Skums, Alex Zelikovsky, Zhipeng Cai and Fa Zhang
Related articles have been published as a supplement to BMC Bioinformatics.
Volume 12 Supplement 7
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.
Beijing, China8-11 June 2018
Edited by Pavel Skums, Alex Zelikovsky, Zhipeng Cai and Fa Zhang
Related articles have been published as a supplement to BMC Bioinformatics.
Other articles from the conference have been published as supplements to BMC Bioinformatics, BMC Genomics, BMC Medical Informatics and Decision Making and BMC Systems Biology.
Detecting single nucleotide polymorphism (SNP) interactions is an important and challenging task in genome-wide association studies (GWAS). Various efforts have been devoted to detect SNP interactions. However...
Citation: BMC Medical Genomics 2019 12(Suppl 7):139
Although there are huge volumes of genomic data, how to decipher them and identify driver events is still a challenge. The current methods based on network typically use the relationship between genomic events...
Citation: BMC Medical Genomics 2019 12(Suppl 7):140
Comorbidity is the phenomenon of two or more diseases occurring simultaneously not by random chance and presents great challenges to accurate diagnosis and treatment. As an effort toward better understanding t...
Citation: BMC Medical Genomics 2019 12(Suppl 7):161
Gene co-expression network is a favorable method to reveal the nature of disease. With the development of cancer, the way to build gene co-expression networks based on cancer data has been become a hot spot. H...
Citation: BMC Medical Genomics 2019 12(Suppl 7):155
Cancer as a kind of genomic alteration disease each year deprives many people’s life. The biggest challenge to overcome cancer is to identify driver genes that promote the cancer development from a huge amount...
Citation: BMC Medical Genomics 2019 12(Suppl 7):168
In genome-wide association study (GWAS), conventional interaction detection methods such as BOOST are mostly based on SNP-SNP interactions. Although single nucleotides are the building blocks of human genome, ...
Citation: BMC Medical Genomics 2019 12(Suppl 7):133
Colon cancer is one of the common cancers in human. Although the number of annual cases has decreased drastically, prognostic screening and translational methods can be improved. Hence, it is critical to under...
Citation: BMC Medical Genomics 2019 12(Suppl 7):158
Advanced non-invasive neuroimaging techniques offer new approaches to study functions and structures of human brains. Whole-brain functional networks obtained from resting state functional magnetic resonance i...
Citation: BMC Medical Genomics 2019 12(Suppl 7):153
Most statistical methods used to identify cancer driver genes are either biased due to choice of assumed parametric models or insensitive to directional relationships important for causal inference. To overcom...
Citation: BMC Medical Genomics 2019 12(Suppl 7):129
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