Leveraging TCGA gene expression data to build predictive models for cancer drug response.

abstract：BACKGROUND:An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (individuals). Feature selec...

journal_title：BMC bioinformatics

authors： Kammers K,Lang M,Hengstler JG,Schmidt M,Rahnenführer J

更新日期：2011-12-16 00:00:00

abstract：BACKGROUND:Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is more than fifty percent. Therefore, having the right information at the r...

journal_title：BMC bioinformatics

authors： Nasiri S,Helsper J,Jung M,Fathi M

更新日期：2020-03-11 00:00:00

abstract：BACKGROUND:In bioinformatics community, many tasks associate with matching a set of protein query sequences in large sequence datasets. To conduct multiple queries in the database, a common used method is to run BLAST on each original querey or on the concatenated queries. It is inefficient since it doesn't exploit the...

journal_title：BMC bioinformatics

authors： Ge H,Sun L,Yu J

更新日期：2017-11-21 00:00:00

abstract：BACKGROUND:The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is d...

journal_title：BMC bioinformatics

authors： Wang L,Stein LD

更新日期：2010-11-08 00:00:00

abstract：BACKGROUND:Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a high degree of biological significance. Previously we have discussed the basic mechanisms of our novel method for structure compariso...

journal_title：BMC bioinformatics

authors： Veeramalai M,Gilbert D,Valiente G

更新日期：2010-03-17 00:00:00

abstract：BACKGROUND:The developments of high-throughput genotyping technologies, which enable the simultaneous genotyping of hundreds of thousands of single nucleotide polymorphisms (SNP) have the potential to increase the benefits of genetic epidemiology studies. Although the enhanced resolution of these platforms increases th...

journal_title：BMC bioinformatics

authors： Chai HS,Sicotte H,Bailey KR,Turner ST,Asmann YW,Kocher JP

更新日期：2009-04-03 00:00:00

abstract：BACKGROUND:Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our motivation is inspired by label propagation algorithm and the false positive protein-protein intera...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu J,Liu X,Fan X,Hong Y,Wang Y,Huang Y,Xie M

更新日期：2018-02-08 00:00:00

abstract：BACKGROUND:The identification of genes responsible for human inherited diseases is one of the most challenging tasks in human genetics. Recent studies based on phenotype similarity and gene proximity have demonstrated great success in prioritizing candidate genes for human diseases. However, most of these methods rely ...

journal_title：BMC bioinformatics

authors： Zhang W,Sun F,Jiang R

更新日期：2011-02-15 00:00:00

abstract：BACKGROUND:In many bacteria, intragenomic diversity in synonymous codon usage among genes has been reported. However, no quantitative attempt has been made to compare the diversity levels among different genomes. Here, we introduce a mean dissimilarity-based index (Dmean) for quantifying the level of diversity in synon...

journal_title：BMC bioinformatics

authors： Suzuki H,Saito R,Tomita M

更新日期：2009-06-01 00:00:00

abstract：BACKGROUND:Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network's response to specific input examples that may be insufficien...

journal_title：BMC bioinformatics

authors： Liu G,Zeng H,Gifford DK

更新日期：2019-07-19 00:00:00

abstract：BACKGROUND:Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and...

journal_title：BMC bioinformatics

authors： Liany H,Rajapakse JC,Karuturi RKM

更新日期：2017-12-28 00:00:00

abstract：BACKGROUND:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

journal_title：BMC bioinformatics

authors： Shlomi T,Segal D,Ruppin E,Sharan R

更新日期：2006-04-10 00:00:00

abstract：BACKGROUND:Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze t...

journal_title：BMC bioinformatics

authors： Lopes Ide O,Schliep A,de Carvalho AC

更新日期：2014-05-02 00:00:00

abstract：BACKGROUND:Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of pot...

journal_title：BMC bioinformatics

authors： Che D,Guo S,Jiang Q,Chen L

更新日期：2020-07-14 00:00:00

abstract：BACKGROUND:Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays, one is able to choose between two completely different platforms f...

journal_title：BMC bioinformatics

authors： Stiglic G,Bajgot M,Kokol P

更新日期：2010-04-08 00:00:00

abstract：BACKGROUND:Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been developed for predicting their locations in archaeal, bacterial and eukaryotic genomes. However, a prediction method designed for a particular kind o...

journal_title：BMC bioinformatics

authors： Chew DS,Leung MY,Choi KP

更新日期：2007-05-21 00:00:00

abstract：BACKGROUND:As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of signaling pathways during disease development or therapeutic intervention would assist in drug development, design of therapy, and target ide...

journal_title：BMC bioinformatics

authors： Bidaut G,Suhre K,Claverie JM,Ochs MF

更新日期：2006-02-28 00:00:00

abstract：BACKGROUND:It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce either wanted or unwanted effects, such as an increase or decrease in affinity, or a predisposition towards misfolding. Here, we describe a tool wh...

journal_title：BMC bioinformatics

authors： David MP,Lapid CM,Daria VR

更新日期：2008-04-28 00:00:00

abstract：BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

journal_title：BMC bioinformatics

authors： Blei DM,Franks K,Jordan MI,Mian IS

更新日期：2006-05-08 00:00:00

abstract：BACKGROUND:Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the main bottleneck in routine implementation of high resolution array platforms, and emphasising the need for a centralised and easy to use CNV da...

journal_title：BMC bioinformatics

authors： Vandeweyer G,Reyniers E,Wuyts W,Rooms L,Kooy RF

更新日期：2011-01-05 00:00:00

abstract：BACKGROUND:Recently, revealing the function of proteins with protein-protein interaction (PPI) networks is regarded as one of important issues in bioinformatics. With the development of experimental methods such as the yeast two-hybrid method, the data of protein interaction have been increasing extremely. Many databas...

journal_title：BMC bioinformatics

authors： Monji H,Koizumi S,Ozaki T,Ohkawa T

更新日期：2011-02-15 00:00:00

abstract：BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

journal_title：BMC bioinformatics

authors： de Brevern AG,Hazout S,Malpertuy A

更新日期：2004-08-23 00:00:00

abstract：BACKGROUND:With the growing availability of entire genome sequences, an increasing number of scientists can exploit oligonucleotide microarrays for genome-scale expression studies. While probe-design is a major research area, relatively little work has been reported on the optimization of microarray protocols. RESULTS...

journal_title：BMC bioinformatics

authors： Sykacek P,Kreil DP,Meadows LA,Auburn RP,Fischer B,Russell S,Micklem G

更新日期：2011-03-14 00:00:00

abstract：BACKGROUND:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

journal_title：BMC bioinformatics

authors： Mei S,Fei W,Zhou S

更新日期：2011-02-02 00:00:00

abstract：BACKGROUND:DNA methylation patterns store epigenetic information in the vast majority of eukaryotic species. The relatively high costs and technical challenges associated with the detection of DNA methylation however have created a bias in the number of methylation studies towards model organisms. Consequently, it rema...

journal_title：BMC bioinformatics

authors： Bulla I,Aliaga B,Lacal V,Bulla J,Grunau C,Chaparro C

更新日期：2018-03-27 00:00:00

abstract：BACKGROUND:Different human responses to the same vaccine were frequently observed. For example, independent studies identified overlapping but different transcriptomic gene expression profiles in Yellow Fever vaccine 17D (YF-17D) immunized human subjects. Different experimental and analysis conditions were likely contr...

journal_title：BMC bioinformatics

authors： Ong E,Sun P,Berke K,Zheng J,Wu G,He Y

更新日期：2019-12-23 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

journal_title：BMC bioinformatics

authors： Doran AG,Creevey CJ

更新日期：2013-02-08 00:00:00

abstract：BACKGROUND:In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the nodes and it will in general be necessary to account for these de...

journal_title：BMC bioinformatics

authors： Thorne T,Stumpf MP

更新日期：2007-11-30 00:00:00

abstract：BACKGROUND:Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when bound to a receptor protein, from among a large set of candidate poses. Des...

journal_title：BMC bioinformatics

authors： Ashtawy HM,Mahapatra NR

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:It has long been recognized that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes. Systems biology markup language (SBML) has become a well-known platform for coding and sharing mathematical models of such processes. However, current SBML compatible software ...

journal_title：BMC bioinformatics

authors： Zi Z,Zheng Y,Rundell AE,Klipp E

更新日期：2008-08-15 00:00:00