Bayesian neural networks for detecting epistasis in genetic association studies.

abstract：BACKGROUND:Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular Recognition Features (MoRFs) are functional regions within IDPs that undergo a disorder-to-order transition on binding to a partner protein. Identifying MoRFs i...

journal_title：BMC bioinformatics

authors： Sharma R,Kumar S,Tsunoda T,Patil A,Sharma A

更新日期：2016-12-22 00:00:00

abstract：BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

journal_title：BMC bioinformatics

authors： Yamada KD,Kinoshita K

更新日期：2018-07-18 00:00:00

abstract：BACKGROUND:Numerical solutions of the chemical master equation (CME) are important for understanding the stochasticity of biochemical systems. However, solving CMEs is a formidable task. This task is complicated due to the nonlinear nature of the reactions and the size of the networks which result in different realizat...

journal_title：BMC bioinformatics

authors： Kosarwal R,Kulasiri D,Samarasinghe S

更新日期：2020-11-11 00:00:00

abstract：BACKGROUND:Population stratification is a systematic difference in allele frequencies between subpopulations. This can lead to spurious association findings in the case-control genome wide association studies (GWASs) used to identify single nucleotide polymorphisms (SNPs) associated with disease-linked phenotypes. Meth...

journal_title：BMC bioinformatics

authors： Hajiloo M,Sapkota Y,Mackey JR,Robson P,Greiner R,Damaraju S

更新日期：2013-02-22 00:00:00

abstract：BACKGROUND:Multiple data-analytic methods have been proposed for evaluating gene-expression levels in specific biological pathways, assessing differential expression associated with a binary phenotype. Following Goeman and Bühlmann's recent review, we compared statistical performance of three methods, namely Global Tes...

journal_title：BMC bioinformatics

authors： Liu Q,Dinu I,Adewale AJ,Potter JD,Yasui Y

更新日期：2007-11-07 00:00:00

abstract：BACKGROUND:To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to calculate the distance between the resulting values of each measure. Conventional phylogenetic analysis based on genomic sequences provides inf...

journal_title：BMC bioinformatics

authors： Oh SJ,Joung JG,Chang JH,Zhang BT

更新日期：2006-06-06 00:00:00

abstract：BACKGROUND:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 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:Circular RNAs (circRNAs) are a newly appreciated class of non-coding RNA molecules. Numerous tools have been developed for the detection of circRNAs, however computational tools to perform downstream functional analysis of circRNAs are scarce. RESULTS:We present circRNAprofiler, an R-based computational fra...

journal_title：BMC bioinformatics

authors： Aufiero S,Reckman YJ,Tijsen AJ,Pinto YM,Creemers EE

更新日期：2020-04-29 00:00:00

abstract：BACKGROUND:Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to quantify some of the sources of error that affect measurement of expression using Agilent arrays and to compare Agilent's Feature Extraction ...

journal_title：BMC bioinformatics

authors： Zahurak M,Parmigiani G,Yu W,Scharpf RB,Berman D,Schaeffer E,Shabbeer S,Cope L

更新日期：2007-05-01 00:00:00

abstract：BACKGROUND:Human breast cancer resistance protein (BCRP) is an ATP-binding cassette (ABC) efflux transporter that confers multidrug resistance in cancers and also plays an important role in the absorption, distribution and elimination of drugs. Prediction as to if drugs or new molecular entities are BCRP substrates sho...

journal_title：BMC bioinformatics

authors： Hazai E,Hazai I,Ragueneau-Majlessi I,Chung SP,Bikadi Z,Mao Q

更新日期：2013-04-15 00:00:00

abstract：BACKGROUND:The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins. RESULTS:In the present work, individual cluste...

journal_title：BMC bioinformatics

authors： Sen TZ,Kloczkowski A,Jernigan RL

更新日期：2006-07-24 00:00:00

abstract：BACKGROUND:Identification of transcription factors (TFs) responsible for modulation of differentially expressed genes is a key step in deducing gene regulatory pathways. Most current methods identify TFs by searching for presence of DNA binding motifs in the promoter regions of co-regulated genes. However, this strateg...

journal_title：BMC bioinformatics

authors： Roy S,Heinrich K,Phan V,Berry MW,Homayouni R

更新日期：2011-10-18 00:00:00

abstract：BACKGROUND:The analysis of mass spectra suggests that the existence of derivative peaks is strongly dependent on the intensity of the primary peaks. Peak selection from tandem mass spectrum is used to filter out noise and contaminant peaks. It is widely accepted that a valid primary peak tends to have high intensity an...

journal_title：BMC bioinformatics

authors： Zhang S,Wang Y,Bu D,Zhang H,Sun S

更新日期：2011-08-17 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 00:00:00

abstract：BACKGROUND:Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. Gene profiling studies have been conducted to search for predictive genomic measurements. Genes have the inherent pathway structure, where pat...

journal_title：BMC bioinformatics

authors： Ma S,Kosorok MR

更新日期：2010-01-01 00:00:00

abstract：BACKGROUND:Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large fraction of zero value...

journal_title：BMC bioinformatics

authors： Li Y,Fan TWM,Lane AN,Kang WY,Arnold SM,Stromberg AJ,Wang C,Chen L

更新日期：2019-10-17 00:00:00

abstract：BACKGROUND:The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the variables available for each subject: the main characteristic of high-dimensional data is that the number of variables greatly exceeds the number o...

journal_title：BMC bioinformatics

authors： Blagus R,Lusa L

更新日期：2010-10-20 00:00:00

abstract：BACKGROUND:Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed levels of gene expression, r...

journal_title：BMC bioinformatics

authors： Aflakparast M,Geeven G,de Gunst MCM

更新日期：2020-01-02 00:00:00

abstract：BACKGROUND:The diagnosis of many diseases can be often formulated as a decision problem; uncertainty affects these problems so that many computerized Diagnostic Decision Support Systems (in the following, DDSSs) have been developed to aid the physician in interpreting clinical data and thus to improve the quality of th...

journal_title：BMC bioinformatics

authors： d'Acierno A,Esposito M,De Pietro G

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

journal_title：BMC bioinformatics

authors： Liu Q,Crammer K,Pereira FC,Roos DS

更新日期：2008-10-14 00:00:00

abstract：BACKGROUND:Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of alignment methods use sequence profiles that only represent conservation. There is no general way to represent correlated mutation and incorporat...

journal_title：BMC bioinformatics

authors： Jeong CS,Kim D

更新日期：2010-04-16 00:00:00

abstract：BACKGROUND:Linkage disequilibrium (LD)-the non-random association of alleles at different loci-defines population-specific haplotypes which vary by genomic ancestry. Assessment of allelic frequencies and LD patterns from a variety of ancestral populations enables researchers to better understand population histories as...

journal_title：BMC bioinformatics

authors： Alexander TA,Machiela MJ

更新日期：2020-01-10 00:00:00

abstract：BACKGROUND:A common feature of microarray experiments is the occurrence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots and the removal of undefined values when a logarithmic transformation is applied to negative backgro...

journal_title：BMC bioinformatics

authors： Tom BD,Gilks WR,Brooke-Powell ET,Ajioka JW

更新日期：2005-09-26 00:00:00

abstract：BACKGROUND:High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key for drawing meaningful and accurate conclusions from the massive and complex datasets generat...

journal_title：BMC bioinformatics

authors： Bullard JH,Purdom E,Hansen KD,Dudoit S

更新日期：2010-02-18 00:00:00

abstract：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, one for each allele of a bi-allelic marker. While ample software is available to obtain genotypes (homozygous for either allele, or heterozygo...

journal_title：BMC bioinformatics

authors： Voorrips RE,Gort G,Vosman B

更新日期：2011-05-19 00:00:00

abstract：BACKGROUND:One of the important goals in the post-genomic era is to determine the regulatory elements within the non-coding DNA of a given organism's genome. The identification of functional cis-regulatory modules has proven difficult since the component factor binding sites are small and the rules governing their arra...

journal_title：BMC bioinformatics

authors： Emberly E,Rajewsky N,Siggia ED

更新日期：2003-11-20 00:00:00

abstract：BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

journal_title：BMC bioinformatics

authors： Sarda D,Chua GH,Li KB,Krishnan A

更新日期：2005-06-17 00:00:00

abstract：BACKGROUND:Annotations of the phylogenetic tree of the human kinome is an intuitive way to visualize compound profiling data, structural features of kinases or functional relationships within this important class of proteins. The increasing volume and complexity of kinase-related data underlines the need for a tool tha...

journal_title：BMC bioinformatics

authors： Eid S,Turk S,Volkamer A,Rippmann F,Fulle S

更新日期：2017-01-05 00:00:00