Volume 11 Supplement 9
Selected Proceedings of the 2010 AMIA Summit on Translational Bioinformatics
Proceedings
Edited by Eneida A Mendoça
2010 AMIA Summit on Translational Bioinformatics.
San Francisco, CA, USA10-12 March 2010
-
Citation: BMC Bioinformatics 2010 11(Suppl 9):S1
-
Mapping transcription mechanisms from multimodal genomic data
Identification of expression quantitative trait loci (eQTLs) is an emerging area in genomic study. The task requires an integrated analysis of genome-wide single nucleotide polymorphism (SNP) data and gene exp...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S2 -
Multi-dimensional discovery of biomarker and phenotype complexes
Given the rapid growth of translational research and personalized healthcare paradigms, the ability to relate and reason upon networks of bio-molecular and phenotypic variables at various levels of granularity...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S3 -
Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays
Diagnosis and treatment of patients in the clinical setting is often driven by known symptomatic factors that distinguish one particular condition from another. Treatment based on noticeable symptoms, however,...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S4 -
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
Chronic lymphocytic leukemia (CLL) is the most common adult leukemia. It is a highly heterogeneous disease, and can be divided roughly into indolent and progressive stages based on classic clinical markers. Im...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S5 -
Comparison of multiplex meta analysis techniques for understanding the acute rejection of solid organ transplants
Combining the results of studies using highly parallelized measurements of gene expression such as microarrays and RNAseq offer unique challenges in meta analysis. Motivated by a need for a deeper understandin...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S6 -
Mining multi-item drug adverse effect associations in spontaneous reporting systems
Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in pharmacovigilance is bivariate association analysis, where...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S7 -
Assessing the quality of annotations in asthma gene expression experiments
The amount of data deposited in the Gene Expression Omnibus (GEO) has expanded significantly. It is important to ensure that these data are properly annotated with clinical data and descriptions of experimenta...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S8 -
An integrative method for scoring candidate genes from association studies: application to warfarin dosing
A key challenge in pharmacogenomics is the identification of genes whose variants contribute to drug response phenotypes, which can include severe adverse effects. Pharmacogenomics GWAS attempt to elucidate ge...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S9 -
Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support
In pursuing personalized medicine, pharmacogenomic (PGx) knowledge may help guide prescribing drugs based on a person’s genotype. Here we evaluate the feasibility of incorporating PGx knowledge, combined with ...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S10 -
Stromal microenvironment processes unveiled by biological component analysis of gene expression in xenograft tumor models
Mouse xenograft models, in which human cancer cells are implanted in immune-suppressed mice, have been popular for studying the mechanisms of novel therapeutic targets, tumor progression and metastasis. We hyp...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S11 -
Assessment of genetic variation for the LINE-1 retrotransposon from next generation sequence data
In humans, copies of the Long Interspersed Nuclear Element 1 (LINE-1) retrotransposon comprise 21% of the reference genome, and have been shown to modulate expression and produce novel splice isoforms of trans...
Citation: BMC Bioinformatics 2010 11(Suppl 9):S12
Annual Journal Metrics
-
Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 3.6
Source Normalized Impact per Paper (SNIP): 0.821
SCImago Journal Rank (SJR): 1.005
Speed 2023
Submission to first editorial decision (median days): 12
Submission to acceptance (median days): 146
Usage 2023
Downloads: 5,987,678
Altmetric mentions: 4,858