PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences.

abstract：BACKGROUND:Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, correlated signals can result from technical deficiencies like hybridization of reporters with off-target transcripts. An approach that is able to...

journal_title：BMC bioinformatics

authors： Casneuf T,Van de Peer Y,Huber W

更新日期：2007-11-26 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:Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate datasets which contain millions of detector intensity readings, each uniquely addressed along dimensions of time (e.g., retention time of chemic...

journal_title：BMC bioinformatics

authors： Chae M,Shmookler Reis RJ,Thaden JJ

更新日期：2008-08-12 00:00:00

abstract：BACKGROUND:Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to the correct state. These algorithms provide only a single answer and in practice do not produce good results. RESULTS:We explore an alternative...

journal_title：BMC bioinformatics

authors： Brown DG,Golod D

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

journal_title：BMC bioinformatics

authors： Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

更新日期：2020-03-20 00:00:00

abstract：BACKGROUND:Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. Unfortunately, most of them are not applicable for the identification of unique genes and the inferen...

journal_title：BMC bioinformatics

authors： Lu G,Jiang L,Helikar RM,Rowley TW,Zhang L,Chen X,Moriyama EN

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Continuous enzyme kinetic assays are often used in high-throughput applications, as they allow rapid acquisition of large amounts of kinetic data and increased confidence compared to discontinuous assays. However, data analysis is often rate-limiting in high-throughput enzyme assays, as manual inspection and...

journal_title：BMC bioinformatics

authors： Olp MD,Kalous KS,Smith BC

更新日期：2020-05-14 00:00:00

abstract：BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

journal_title：BMC bioinformatics

authors： Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important. This interpretation may be eased if interacting elements can be identified and visualized, ...

journal_title：BMC bioinformatics

authors： Bornelöv S,Marillet S,Komorowski J

更新日期：2014-05-12 00:00:00

abstract：BACKGROUND:Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines. The community-based Cell Line Ontology (CLO) is selected as the defa...

journal_title：BMC bioinformatics

authors： Ong E,Xie J,Ni Z,Liu Q,Sarntivijai S,Lin Y,Cooper D,Terryn R,Stathias V,Chung C,Schürer S,He Y

更新日期：2017-12-21 00:00:00

abstract：:Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these ca...

journal_title：BMC bioinformatics

authors： Schlitt T,Brazma A

更新日期：2007-09-27 00:00:00

abstract：BACKGROUND:The detection of weak signals and selection of single particles from low-contrast micrographs of frozen hydrated biomolecules by cryo-electron microscopy (cryo-EM) represents a major practical bottleneck in cryo-EM data analysis. Template-based particle picking by an objective function using fast local corre...

journal_title：BMC bioinformatics

authors： Wang WL,Yu Z,Castillo-Menendez LR,Sodroski J,Mao Y

更新日期：2019-04-03 00:00:00

abstract：BACKGROUND:Over the last decade, next generation sequencing (NGS) has become widely available, and is now the sequencing technology of choice for most researchers. Nonetheless, NGS presents a challenge for the evolutionary biologists who wish to estimate evolutionary genetic parameters from a mixed sample of unlabelled...

journal_title：BMC bioinformatics

authors： Wu SH,Rodrigo AG

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:Meta-analysis (MA) is widely used to pool genome-wide association studies (GWASes) in order to a) increase the power to detect strong or weak genotype effects or b) as a result verification method. As a consequence of differing SNP panels among genotyping chips, imputation is the method of choice within GWAS...

journal_title：BMC bioinformatics

authors： Meesters C,Leber M,Herold C,Angisch M,Mattheisen M,Drichel D,Lacour A,Becker T

更新日期：2012-09-12 00:00:00

abstract：BACKGROUND:An organism's protein interactome, or complete network of protein-protein interactions, defines the protein complexes that drive cellular processes. Techniques for studying protein complexes have traditionally applied targeted strategies such as yeast two-hybrid or affinity purification-mass spectrometry to ...

journal_title：BMC bioinformatics

authors： Stacey RG,Skinnider MA,Scott NE,Foster LJ

更新日期：2017-10-23 00:00:00

abstract：BACKGROUND:The rabbit is an important model organism used in a wide range of biomedical research. However, the rabbit genome is still sparsely annotated, thus prohibiting extensive functional analysis of gene sets derived from whole-genome experiments. We developed a web-based application that provides augmented annota...

journal_title：BMC bioinformatics

authors： Craig DB,Kannan S,Dombkowski AA

更新日期：2012-05-08 00:00:00

abstract：BACKGROUND:Global maritime trade plays an important role in the modern transportation industry. It brings significant economic profit along with bioinvasion risk. Species translocate and establish in a non-native area through ballast water and biofouling. Aiming at aquatic bioinvasion issue, people proposed various sug...

journal_title：BMC bioinformatics

authors： Wang S,Wang C,Wang S,Ma L

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there exist very few freeware tools and methods which provide automatic neuronal morphology quantification for pharmacological discovery. RESULTS:T...

journal_title：BMC bioinformatics

authors： Ho SY,Chao CY,Huang HL,Chiu TW,Charoenkwan P,Hwang E

更新日期：2011-06-08 00:00:00

abstract：BACKGROUND:People with an autistic spectrum disorder (ASD) display a variety of characteristic behavioral traits, including impaired social interaction, communication difficulties and repetitive behavior. This complex neurodevelopment disorder is known to be associated with a combination of genetic and environmental fa...

journal_title：BMC bioinformatics

authors： Patel S,Roncaglia P,Lovering RC

更新日期：2015-06-06 00:00:00

abstract：BACKGROUND:The distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families. This matrix can also be visualized in a low dimensional space by metric multidimensional scaling (MDS). Applied to p...

journal_title：BMC bioinformatics

authors： Pelé J,Bécu JM,Abdi H,Chabbert M

更新日期：2012-06-15 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:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed genes. The traditional gene set enrichment approach considers a pathway as a simple gene list disregarding any knowledge of gene or protein interactions....

journal_title：BMC bioinformatics

authors： Bayerlová M,Jung K,Kramer F,Klemm F,Bleckmann A,Beißbarth T

更新日期：2015-10-22 00:00:00

abstract：BACKGROUND:Alignment-free methods for comparing protein sequences have proved to be viable alternatives to approaches that first rely on an alignment of the sequences to be compared. Much work however need to be done before those methods provide reliable fold recognition for proteins whose sequences share little simila...

journal_title：BMC bioinformatics

authors： Nojoomi S,Koehl P

更新日期：2017-08-25 00:00:00

abstract：BACKGROUND:The creation of a complete genome-wide map of transcription factor binding sites is essential for understanding gene regulatory networks in vivo. However, current prediction methods generally rely on statistical models that imperfectly model transcription factor binding. Generation of new prediction methods ...

journal_title：BMC bioinformatics

authors： Hill JT,Anderson KR,Mastracci TL,Kaestner KH,Sussel L

更新日期：2011-02-25 00:00:00

abstract：BACKGROUND:A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compositions and 8 physicochemical properties data are used as conditional attributes for the construction of decision system. After reducing the de...

journal_title：BMC bioinformatics

authors： Cao Y,Liu S,Zhang L,Qin J,Wang J,Tang K

更新日期：2006-01-14 00:00:00

abstract：BACKGROUND:With the introduction of tissue microarrays (TMAs) researchers can investigate gene and protein expression in tissues on a high-throughput scale. TMAs generate a wealth of data calling for extended, high level data management. Enhanced data analysis and systematic data management are required for traceabilit...

journal_title：BMC bioinformatics

authors： Thallinger GG,Baumgartner K,Pirklbauer M,Uray M,Pauritsch E,Mehes G,Buck CR,Zatloukal K,Trajanoski Z

更新日期：2007-03-07 00:00:00

abstract：BACKGROUND:The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising tens of thousands of sequences. In such studies, sequence annotations frequently play an essential role, and reliable results depend on metadata...

journal_title：BMC bioinformatics

authors： Miotto O,Tan TW,Brusic V

更新日期：2008-01-01 00:00:00

abstract：BACKGROUND:The increasing availability of Electronic Health Record (EHR) data and specifically free-text patient notes presents opportunities for phenotype extraction. Text-mining methods in particular can help disease modeling by mapping named-entities mentions to terminologies and clustering semantically related term...

journal_title：BMC bioinformatics

authors： Cohen R,Elhadad M,Elhadad N

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differences in gel migration and sample variability make efficient spot alignment very difficult to obtain, and, as consequence most of the software ...

journal_title：BMC bioinformatics

authors： Pérès S,Molina L,Salvetat N,Granier C,Molina F

更新日期：2008-10-28 00:00:00