Missing data is an inevitable phenomenon in gene expression microarray experiments due to instrument failure or human error. It has a negative impact on performance of downstream analysis. Technically, most ex...
Volume 16 Supplement 9
Selected articles from the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014): Genomics
Edited by Xingpeng Jiang and Gouzheng Li
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for the publication charges can be found in the individual aticles. Articles ahve undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014). Go to conference site.
Belfast, UK2-5 November 2014
Citation: BMC Genomics 2015 16(Suppl 9):S1
The identification of genes and uncovering the role they play in diseases is an important and complex challenge. Genome-wide linkage and association studies have made advancements in identifying genetic varian...Citation: BMC Genomics 2015 16(Suppl 9):S2
An unsupervised learning approach to find ovarian cancer genes through integration of biological data
Cancer is a disease characterized largely by the accumulation of out-of-control somatic mutations during the lifetime of a patient. Distinguishing driver mutations from passenger mutations has posed a challeng...Citation: BMC Genomics 2015 16(Suppl 9):S3
Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer
microRNA (miRNA) expression plays an influential role in cancer classification and malignancy, and miRNAs are feasible as alternative diagnostic markers for pancreatic cancer, a highly aggressive neoplasm with...Citation: BMC Genomics 2015 16(Suppl 9):S4
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