MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.

abstract：BACKGROUND:The misregulation of microRNA (miRNA) has been shown to cause diseases. Recently, we have proposed a computational method based on a random walk framework on a miRNA-target gene network to predict disease-associated miRNAs. The prediction performance of our method is better than that of some existing state-o...

journal_title：BMC bioinformatics

authors： Le DH,Tran TTH

更新日期：2020-06-15 00:00:00

abstract：BACKGROUND:Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides within repeated identical experiments are often produced. Pooling information across studies can help more accurately identify true target genes. ...

journal_title：BMC bioinformatics

authors： Conlon EM,Song JJ,Liu JS

更新日期：2006-05-05 00:00:00

abstract：BACKGROUND:Mammalian germ cells undergo meiosis to produce sperm or eggs, haploid cells that are primed to meet and propagate life. Meiosis is initiated by retinoic acid and meiotic prophase is the first and most complex stage of meiosis when homologous chromosomes pair to exchange genetic information. Errors in meiosi...

journal_title：BMC bioinformatics

authors： Li Y,Ray D,Ye P

更新日期：2013-02-27 00:00:00

abstract：BACKGROUND:Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. Finding cis-regulatory elements in higher eukaryote genomes, however, remains a challenge, as searching in the promoter regions of genes with ...

journal_title：BMC bioinformatics

authors： Kim RS,Ji H,Wong WH

更新日期：2006-01-26 00:00:00

abstract：BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

journal_title：BMC bioinformatics

authors： Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

更新日期：2008-11-13 00:00:00

abstract：BACKGROUND:Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks of genes, proteins, small molecules, or other objects of study can be represented as graphs of nodes (vertices) and interactions (edges) that ...

journal_title：BMC bioinformatics

authors： Forman JJ,Clemons PA,Schreiber SL,Haggarty SJ

更新日期：2005-10-19 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

abstract：BACKGROUND:Pattern matching is the core of bioinformatics; it is used in database searching, restriction enzyme mapping, and finding open reading frames. It is done repeatedly over increasingly long sequences, thus codes must be efficient and insensitive to sequence length. Such patterns of interest include simple moti...

journal_title：BMC bioinformatics

authors： Mangalam HJ

更新日期：2002-01-01 00:00:00

abstract：BACKGROUND:Abruptness of pigment patterns at the periphery of a skin lesion is one of the most important dermoscopic features for detection of malignancy. In current clinical setting, abrupt cutoff of a skin lesion determined by an examination of a dermatologist. This process is subjective, nonquantitative, and error-p...

journal_title：BMC bioinformatics

authors： Erol R,Bayraktar M,Kockara S,Kaya S,Halic T

更新日期：2017-12-28 00:00:00

abstract：BACKGROUND:Protein sequence profile-profile alignment is an important approach to recognizing remote homologs and generating accurate pairwise alignments. It plays an important role in protein sequence database search, protein structure prediction, protein function prediction, and phylogenetic analysis. RESULTS:In thi...

journal_title：BMC bioinformatics

authors： Deng X,Cheng J

更新日期：2014-07-25 00:00:00

abstract：BACKGROUND:Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is generally achieved by extracting concepts overrepresented in the gene lists. This analysis often depends on manual annotation of genes based on c...

journal_title：BMC bioinformatics

authors： He X,Sarma MS,Ling X,Chee B,Zhai C,Schatz B

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Joint and individual variation explained (JIVE), distinct and common simultaneous component analysis (DISCO) and O2-PLS, a two-block (X-Y) latent variable regression method with an integral OSC filter can all be used for the integrated analysis of multiple data sets and decompose them in three terms: a low(e...

journal_title：BMC bioinformatics

authors： van der Kloet FM,Sebastián-León P,Conesa A,Smilde AK,Westerhuis JA

更新日期：2016-06-06 00:00:00

abstract：BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

journal_title：BMC bioinformatics

authors： Amzallag A,Ramaswamy S,Benes CH

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 00:00:00

abstract：BACKGROUND:Amplified fragment length polymorphism (AFLP) is a PCR-based technique that involves restriction of genomic DNA followed by ligation of adaptors to the fragments generated and selective PCR amplification of a subset of these fragments. The amplified fragments are separated on a sequencing gel and visualized ...

journal_title：BMC bioinformatics

authors： Hong Y,Chuah A

更新日期：2003-02-25 00:00:00

abstract：BACKGROUND:Protein aggregation is a significant problem in the biopharmaceutical industry (protein drug stability) and is associated medically with over 40 human diseases. Although a number of computational models have been developed for predicting aggregation propensity and identifying aggregation-prone regions in pro...

journal_title：BMC bioinformatics

authors： Fang Y,Gao S,Tai D,Middaugh CR,Fang J

更新日期：2013-10-28 00:00:00

abstract：BACKGROUND:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

journal_title：BMC bioinformatics

authors： Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

更新日期：2010-04-29 00:00:00

abstract：:Identifying segments in the genome of different individuals that are identical-by-descent (IBD) is a fundamental element of genetics. IBD data is used for numerous applications including demographic inference, heritability estimation, and mapping disease loci. Simultaneous detection of IBD over multiple haplotypes has...

journal_title：BMC bioinformatics

authors： Park DS,Baran Y,Hormozdiari F,Eng C,Torgerson DG,Burchard EG,Zaitlen N

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-...

journal_title：BMC bioinformatics

authors： Gardner PP,Giegerich R

更新日期：2004-09-30 00:00:00

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: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:Ribosomal 16S DNA sequences are an essential tool for identifying and classifying microbes. High-throughput DNA sequencing now makes it economically possible to produce very large datasets of 16S rDNA sequences in short time periods, necessitating new computer tools for analyses. Here we describe FastGroup, ...

journal_title：BMC bioinformatics

authors： Seguritan V,Rohwer F

更新日期：2001-01-01 00:00:00

abstract：BACKGROUND:Mixed models have a long and fruitful history in statistics. They are pertinent to genomics problems because they are highly versatile, accommodating a wide variety of situations within the same theoretical and algorithmic framework. RESULTS:Qxpak is a package for versatile statistical genomics, specificall...

journal_title：BMC bioinformatics

authors： Pérez-Enciso M,Misztal I

更新日期：2011-05-25 00:00:00

abstract：BACKGROUND:In metabolomics experiments, spectral fingerprints of metabolites with no known structural identity are detected routinely. Computer-assisted structure elucidation (CASE) has been used to determine the structural identities of unknown compounds. It is generally accepted that a single 1D NMR spectrum or mass ...

journal_title：BMC bioinformatics

authors： Jayaseelan KV,Steinbeck C

更新日期：2014-07-05 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the quality of measurements. However, once probes have been selected and synthesized on an array, it is still possible to re-evaluate the results...

journal_title：BMC bioinformatics

authors： Gautier L,Møller M,Friis-Hansen L,Knudsen S

更新日期：2004-08-14 00:00:00

abstract：BACKGROUND:Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environm...

journal_title：BMC bioinformatics

authors： Bae SE,Son HS

更新日期：2011-04-13 00:00:00

abstract：BACKGROUND:The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear ...

journal_title：BMC bioinformatics

authors： Lemieux S

更新日期：2006-08-25 00:00:00

abstract：BACKGROUND:Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic re...

journal_title：BMC bioinformatics

authors： Chou HL,Yao CT,Su SL,Lee CY,Hu KY,Terng HJ,Shih YW,Chang YT,Lu YF,Chang CW,Wahlqvist ML,Wetter T,Chu CM

更新日期：2013-03-19 00:00:00

abstract：:After publication of this supplement article. ...

journal_title：BMC bioinformatics

authors： Pan B,Kusko R,Xiao W,Zheng Y,Liu Z,Xiao C,Sakkiah S,Guo W,Gong P,Zhang C,Ge W,Shi L,Tong W,Hong H

更新日期：2019-05-15 00:00:00