Volume 13 Supplement 6
Selected articles from the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) 2011
Research
Edited by Ranadip Pal, Yufei Huang and Yidong Chen
This supplement has not been supported by sponsorship or other external funding.
IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) 2011. Go to conference site.
San Antonio, TX, USA4-6 December 2011
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Citation: BMC Genomics 2012 13(Suppl 6):S1
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A systematic model of the LC-MS proteomics pipeline
Mass spectrometry is a complex technique used for large-scale protein profiling with clinical and pharmaceutical applications. While individual components in the system have been studied extensively, little wo...
Citation: BMC Genomics 2012 13(Suppl 6):S2 -
Integrative genome-wide chromatin signature analysis using finite mixture models
Regulation of gene expression has been shown to involve not only the binding of transcription factor at target gene promoters but also the characterization of histone around which DNA is wrapped around. Some h...
Citation: BMC Genomics 2012 13(Suppl 6):S3 -
Boolean modeling and fault diagnosis in oxidative stress response
Oxidative stress is a consequence of normal and abnormal cellular metabolism and is linked to the development of human diseases. The effective functioning of the pathway responding to oxidative stress protects...
Citation: BMC Genomics 2012 13(Suppl 6):S4 -
Application of Max-SAT-based ATPG to optimal cancer therapy design
Cancer and other gene related diseases are usually caused by a failure in the signaling pathway between genes and cells. These failures can occur in different areas of the gene regulatory network, but can be a...
Citation: BMC Genomics 2012 13(Suppl 6):S5 -
A modulator based regulatory network for ERα signaling pathway
Estrogens control multiple functions of hormone-responsive breast cancer cells. They regulate diverse physiological processes in various tissues through genomic and non-genomic mechanisms that result in activa...
Citation: BMC Genomics 2012 13(Suppl 6):S6 -
Assessing the gain of biological data integration in gene networks inference
A current challenge in gene annotation is to define the gene function in the context of the network of relationships instead of using single genes. The inference of gene networks (GNs) has emerged as an approa...
Citation: BMC Genomics 2012 13(Suppl 6):S7 -
A Steiner tree-based method for biomarker discovery and classification in breast cancer metastasis
Metastatic breast cancer is a leading cause of cancer-related deaths in women worldwide. DNA microarray has become an important tool to help identify biomarker genes for improving the prognosis of breast cance...
Citation: BMC Genomics 2012 13(Suppl 6):S8 -
Boolean network inference from time series data incorporating prior biological knowledge
Numerous approaches exist for modeling of genetic regulatory networks (GRNs) but the low sampling rates often employed in biological studies prevents the inference of detailed models from experimental data. In...
Citation: BMC Genomics 2012 13(Suppl 6):S9 -
Efficient calculation of steady state probability distribution for stochastic biochemical reaction network
The Steady State (SS) probability distribution is an important quantity needed to characterize the steady state behavior of many stochastic biochemical networks. In this paper, we propose an efficient and accu...
Citation: BMC Genomics 2012 13(Suppl 6):S10 -
Assessing the efficacy of molecularly targeted agents on cell line-based platforms by using system identification
Molecularly targeted agents (MTAs) are increasingly used for cancer treatment, the goal being to improve the efficacy and selectivity of cancer treatment by developing agents that block the growth of cancer ce...
Citation: BMC Genomics 2012 13(Suppl 6):S11 -
Adaptive reference update (ARU) algorithm. A stochastic search algorithm for efficient optimization of multi-drug cocktails
Multi-target therapeutics has been shown to be effective for treating complex diseases, and currently, it is a common practice to combine multiple drugs to treat such diseases to optimize the therapeutic outco...
Citation: BMC Genomics 2012 13(Suppl 6):S12 -
Reducing confounding and suppression effects in TCGA data: an integrated analysis of chemotherapy response in ovarian cancer
Despite initial response in adjuvant chemotherapy, ovarian cancer patients treated with the combination of paclitaxel and carboplatin frequently suffer from recurrence after few cycles of treatment, and the un...
Citation: BMC Genomics 2012 13(Suppl 6):S13 -
Methods for high-throughput MethylCap-Seq data analysis
Advances in whole genome profiling have revolutionized the cancer research field, but at the same time have raised new bioinformatics challenges. For next generation sequencing (NGS), these include data storag...
Citation: BMC Genomics 2012 13(Suppl 6):S14 -
Searching joint association signals in CATIE schizophrenia genome-wide association studies through a refined integrative network approach
Genome-wide association studies (GWAS) have generated a wealth of valuable genotyping data for complex diseases/traits. A large proportion of these data are embedded with many weakly associated markers that ha...
Citation: BMC Genomics 2012 13(Suppl 6):S15 -
Effective normalization for copy number variation detection from whole genome sequencing
Whole genome sequencing enables a high resolution view of the human genome and provides unique insights into genome structure at an unprecedented scale. There have been a number of tools to infer copy number v...
Citation: BMC Genomics 2012 13(Suppl 6):S16 -
C2Maps: a network pharmacology database with comprehensive disease-gene-drug connectivity relationships
Network pharmacology has emerged as a new topic of study in recent years. It aims to study the myriad relationships among proteins, drugs, and disease phenotypes. The concept of molecular connectivity maps has...
Citation: BMC Genomics 2012 13(Suppl 6):S17 -
Pathway Distiller - multisource biological pathway consolidation
One method to understand and evaluate an experiment that produces a large set of genes, such as a gene expression microarray analysis, is to identify overrepresentation or enrichment for biological pathways. B...
Citation: BMC Genomics 2012 13(Suppl 6):S18 -
Atlas2 Cloud: a framework for personal genome analysis in the cloud
Until recently, sequencing has primarily been carried out in large genome centers which have invested heavily in developing the computational infrastructure that enables genomic sequence analysis. The recent a...
Citation: BMC Genomics 2012 13(Suppl 6):S19 -
A nonparametric Bayesian approach for clustering bisulfate-based DNA methylation profiles
DNA methylation occurs in the context of a CpG dinucleotide. It is an important epigenetic modification, which can be inherited through cell division. The two major types of methylation include hypomethylation...
Citation: BMC Genomics 2012 13(Suppl 6):S20 -
Mathematical modeling and stability analysis of macrophage activation in left ventricular remodeling post-myocardial infarction
About 6 million Americans suffer from heart failure and 70% of heart failure cases are caused by myocardial infarction (MI). Following myocardial infarction, increased cytokines induce two major types of macro...
Citation: BMC Genomics 2012 13(Suppl 6):S21
Annual Journal Metrics
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Citation Impact 2023
Journal Impact Factor: 3.5
5-year Journal Impact Factor: 4.1
Source Normalized Impact per Paper (SNIP): 1.083
SCImago Journal Rank (SJR): 1.047
Speed 2023
Submission to first editorial decision (median days): 21
Submission to acceptance (median days): 137
Usage 2023
Downloads: 7,167,242
Altmetric mentions: 4,454