Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network.

abstract：BACKGROUND:Reliability and Reproducibility of differentially expressed genes (DEGs) are essential for the biological interpretation of microarray data. The microarray quality control (MAQC) project launched by US Food and Drug Administration (FDA) elucidated that the lists of DEGs generated by intra- and inter-platform...

journal_title：BMC bioinformatics

authors： Zhang L,Zhang J,Yang G,Wu D,Jiang L,Wen Z,Li M

更新日期：2013-04-29 00:00:00

abstract：BACKGROUND:The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining approach using Latent Semantic Indexing (LSI) for prioritization, clustering and functional annotat...

journal_title：BMC bioinformatics

authors： Roy S,Curry BC,Madahian B,Homayouni R

更新日期：2016-10-06 00:00:00

abstract：BACKGROUND:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...

journal_title：BMC bioinformatics

authors： Tsai RT,Chou WC,Su YS,Lin YC,Sung CL,Dai HJ,Yeh IT,Ku W,Sung TY,Hsu WL

更新日期：2007-09-01 00:00:00

abstract：BACKGROUND:A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. METHODS:This paper describes a hybrid linguistic approa...

journal_title：BMC bioinformatics

authors： Segura-Bedmar I,Martínez P,de Pablo-Sánchez C

更新日期：2011-03-29 00:00:00

abstract：BACKGROUND:Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cycle by employing the traditional experimental method. With the fact that the number of drug molecules with positive activity is rather fewer t...

journal_title：BMC bioinformatics

authors： Li GZ,Meng HH,Lu WC,Yang JY,Yang MQ

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Transcriptome sequencing is a powerful tool for measuring gene expression, but as well as some other technologies, various artifacts and biases affect the quantification. In order to correct some of them, several normalization approaches have emerged, differing both in the statistical strategy employed and i...

journal_title：BMC bioinformatics

authors： Filloux C,Cédric M,Romain P,Lionel F,Christophe K,Dominique R,Abderrahman M,Daniel P

更新日期：2014-06-14 00:00:00

abstract：BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

journal_title：BMC bioinformatics

authors： Zhang P,Cao W,Obradovic Z

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Computer simulation is a resource which can be employed to identify optimal breeding strategies to effectively and efficiently achieve specific goals in developing improved cultivars. In some instances, it is crucial to assess in silico the options as well as the impact of various crossing schemes and breedi...

journal_title：BMC bioinformatics

authors： Sun X,Mumm RH

更新日期：2016-02-06 00:00:00

abstract：BACKGROUND:A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease associations can provide a new perspective for the diagnosis and treatment of diseases. The main function of many ln...

journal_title：BMC bioinformatics

authors： Zhang Y,Ye F,Xiong D,Gao X

更新日期：2020-09-03 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: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:PacBio sequencing platform offers longer read lengths than the second-generation sequencing technologies. It has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. Due to its extremely wide range of application areas, fast sequencing simulation syste...

journal_title：BMC bioinformatics

authors： Wei ZG,Zhang SW

更新日期：2018-05-22 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction speci...

journal_title：BMC bioinformatics

authors： Liu H,Yue D,Chen Y,Gao SJ,Huang Y

更新日期：2010-09-22 00:00:00

abstract：BACKGROUND:A recently proposed method for estimating qPCR amplification efficiency E analyzes fluorescence intensity ratios from pairs of points deemed to lie in the exponential growth region on the amplification curves for all reactions in a dilution series. This method suffers from a serious problem: The resulting ra...

journal_title：BMC bioinformatics

authors： Tellinghuisen J

更新日期：2020-07-08 00:00:00

abstract：BACKGROUND:Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of refere...

journal_title：BMC bioinformatics

authors： Kim J,Patel K,Jung H,Kuo WP,Ohno-Machado L

更新日期：2011-03-17 00:00:00

abstract：BACKGROUND:In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such databases is becoming an increasingly important research issue. This paper reports an algorithm, motivated from spectral graph matching techniq...

journal_title：BMC bioinformatics

authors： Bhattacharya S,Bhattacharyya C,Chandra NR

更新日期：2006-12-18 00:00:00

abstract：BACKGROUND:Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channels being compared. Any step in a microarray process may introduce such offsets and in this article we study the biases introduced by the micro...

journal_title：BMC bioinformatics

authors： Bengtsson H,Jönsson G,Vallon-Christersson J

更新日期：2004-11-12 00:00:00

abstract：BACKGROUND:While researchers have utilized versions of the Affymetrix human GeneChip for the assessment of expression patterns in non human primate (NHP) samples, there has been no comprehensive sequence analysis study undertaken to demonstrate that the probe sequences designed to detect human transcripts are reliably ...

journal_title：BMC bioinformatics

authors： Wang Z,Lewis MG,Nau ME,Arnold A,Vahey MT

更新日期：2004-10-26 00:00:00

abstract：BACKGROUND:Ontology term labels can be ambiguous and have multiple senses. While this is no problem for human annotators, it is a challenge to automated methods, which identify ontology terms in text. Classical approaches to word sense disambiguation use co-occurring words or terms. However, most treat ontologies as si...

journal_title：BMC bioinformatics

authors： Alexopoulou D,Andreopoulos B,Dietze H,Doms A,Gandon F,Hakenberg J,Khelif K,Schroeder M,Wächter T

更新日期：2009-01-21 00:00:00

abstract：BACKGROUND:Many biases and spurious effects are inherent in RNA-seq technology, resulting in a non-uniform distribution of sequencing read counts for each base position in a gene. Therefore, a base-level strategy is required to model the non-uniformity. Also, the properties of sequencing read counts can be leveraged to...

journal_title：BMC bioinformatics

authors： Cai G,Liang S,Zheng X,Xiao F

更新日期：2017-08-09 00:00:00

abstract：BACKGROUND:Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replica...

journal_title：BMC bioinformatics

authors： Zynda GJ,Song J,Concia L,Wear EE,Hanley-Bowdoin L,Thompson WF,Vaughn MW

更新日期：2017-08-07 00:00:00

abstract：BACKGROUND:Sequence alignment is crucial in genomics studies. However, optimal multiple sequence alignment (MSA) is NP-hard. Thus, modern MSA methods employ progressive heuristics, breaking the problem into a series of pairwise alignments guided by a phylogeny. Changes between homologous characters are typically modell...

journal_title：BMC bioinformatics

authors： Maiolo M,Zhang X,Gil M,Anisimova M

更新日期：2018-09-21 00:00:00

abstract：BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

journal_title：BMC bioinformatics

authors： Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

更新日期：2005-05-12 00:00:00

abstract：BACKGROUND:Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may be key elements for a disease. With the increasing volume of data generated by modern biomedical ...

journal_title：BMC bioinformatics

authors： Martínez-Otzeta JM,Irigoien I,Sierra B,Arenas C

更新日期：2020-04-07 00:00:00

abstract：BACKGROUND:Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring different protein functions, a pipeline that properly integrates these resources will benefit from the advantages of each method. However, int...

journal_title：BMC bioinformatics

authors： Yu C,Zavaljevski N,Desai V,Johnson S,Stevens FJ,Reifman J

更新日期：2008-01-25 00:00:00

abstract：BACKGROUND:Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple organisms up to higher eukaryotes. Admittedly, a key ingredient in developing a reconstruction method is its ability to integrate heterogeneo...

journal_title：BMC bioinformatics

authors： Veber P,Guziolowski C,Le Borgne M,Radulescu O,Siegel A

更新日期：2008-05-06 00:00:00

abstract：BACKGROUND:Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environmen...

journal_title：BMC bioinformatics

authors： Staunton PM,Miranda-CasoLuengo AA,Loftus BJ,Gormley IC

更新日期：2019-09-10 00:00:00

abstract：BACKGROUND:The field of protein sequence analysis is dominated by tools rooted in substitution matrices and alignments. A complementary approach is provided by methods of quantitative characterization. A major advantage of the approach is that quantitative properties defines a multidimensional solution space, where seq...

journal_title：BMC bioinformatics

authors： Konopka BM,Marciniak M,Dyrka W

更新日期：2017-07-17 00:00:00

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00

abstract：BACKGROUND:The development of high-throughput sequencing and analysis has accelerated multi-omics studies of thousands of microbial species, metagenomes, and infectious disease pathogens. Omics studies are enabling genotype-phenotype association studies which identify genetic determinants of pathogen virulence and drug...

journal_title：BMC bioinformatics

authors： Singh I,Kuscuoglu M,Harkins DM,Sutton G,Fouts DE,Nelson KE

更新日期：2019-01-07 00:00:00