A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method.

abstract：BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

journal_title：BMC bioinformatics

authors： Verda D,Parodi S,Ferrari E,Muselli M

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. The original version of GoMiner was oriented toward visualization and interp...

journal_title：BMC bioinformatics

authors： Zeeberg BR,Qin H,Narasimhan S,Sunshine M,Cao H,Kane DW,Reimers M,Stephens RM,Bryant D,Burt SK,Elnekave E,Hari DM,Wynn TA,Cunningham-Rundles C,Stewart DM,Nelson D,Weinstein JN

更新日期：2005-07-05 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:Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way. RESULTS:We present a visualization method that incorporates both emission and transi...

journal_title：BMC bioinformatics

authors： Schuster-Böckler B,Schultz J,Rahmann S

更新日期：2004-01-21 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 00:00:00

abstract：BACKGROUND:Current development of sequencing technologies is towards generating longer and noisier reads. Evidently, accurate alignment of these reads play an important role in any downstream analysis. Similarly, reducing the overall cost of sequencing is related to the time consumption of the aligner. The tradeoff bet...

journal_title：BMC bioinformatics

authors： Nashta-Ali D,Aliyari A,Ahmadian Moghadam A,Edrisi MA,Motahari SA,Hossein Khalaj B

更新日期：2017-02-23 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:Identifying the interactions between proteins and long non-coding RNAs (lncRNAs) is of great importance to decipher the functional mechanisms of lncRNAs. However, current experimental techniques for detection of lncRNA-protein interactions are limited and inefficient. Many methods have been proposed to predi...

journal_title：BMC bioinformatics

authors： Deng L,Wang J,Xiao Y,Wang Z,Liu H

更新日期：2018-10-11 00:00:00

abstract：BACKGROUND:Biological sequences play a major role in molecular and computational biology. They are studied as information-bearing entities that make up DNA, RNA or proteins. The Sequence Ontology, which is part of the OBO Foundry, contains descriptions and definitions of sequences and their properties. Yet the most bas...

journal_title：BMC bioinformatics

authors： Hoehndorf R,Kelso J,Herre H

更新日期：2009-11-18 00:00:00

abstract：BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

journal_title：BMC bioinformatics

authors： Ibrahim M,Jassim S,Cawthorne MA,Langlands K

更新日期：2014-11-04 00:00:00

abstract：BACKGROUND:Multidimensional protein identification technology (MudPIT)-based shot-gun proteomics has been proven to be an effective platform for functional proteomics. In particular, the various sample preparation methods and bioinformatics tools can be integrated to improve the proteomics platform for applications lik...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu S,Dai SY,Yuan JS

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure predict...

journal_title：BMC bioinformatics

authors： Jing X,Dong Q

更新日期：2017-05-25 00:00:00

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:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

journal_title：BMC bioinformatics

authors： Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

更新日期：2019-12-20 00:00:00

abstract：BACKGROUND:The lack of sufficient training data is the limiting factor for many Machine Learning applications in Computational Biology. If data is available for several different but related problem domains, Multitask Learning algorithms can be used to learn a model based on all available information. In Bioinformatics...

journal_title：BMC bioinformatics

authors： Widmer C,Toussaint NC,Altun Y,Rätsch G

更新日期：2010-10-26 00:00:00

abstract：BACKGROUND:In template-based modeling when using a single template, inter-atomic distances of an unknown protein structure are assumed to be distributed by Gaussian probability density functions, whose center peaks are located at the distances between corresponding atoms in the template structure. The width of the Gaus...

journal_title：BMC bioinformatics

authors： Lee J,Lee K,Joung I,Joo K,Brooks BR,Lee J

更新日期：2015-03-21 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：BACKGROUND:Analyzing the amino acid sequence of an intrinsically disordered protein (IDP) in an evolutionary context can yield novel insights on the functional role of disordered regions and sequence element(s). However, in the case of many IDPs, the lack of evolutionary conservation of the primary sequence can hamper ...

journal_title：BMC bioinformatics

authors： Varadi M,Guharoy M,Zsolyomi F,Tompa P

更新日期：2015-05-13 00:00:00

abstract：BACKGROUND:Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual steps, such as SCOP and CATH, face the challenge of increasing volume of available structures. Automatic methods such as FSSP or Dali Domain Dict...

journal_title：BMC bioinformatics

authors： Sam V,Tai CH,Garnier J,Gibrat JF,Lee B,Munson PJ

更新日期：2008-01-31 00:00:00

abstract：:Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Clinical and Translational Sciences (CCTS) at the University of Texas Health Science Center at Houston (UTHSC-H)...

journal_title：BMC bioinformatics

authors： Mirhaji P,Zhu M,Vagnoni M,Bernstam EV,Zhang J,Smith JW

更新日期：2009-02-05 00:00:00

abstract：BACKGROUND:The amount of gene expression data available in public repositories has grown exponentially in the last years, now requiring new data mining tools to transform them in information easily accessible to biologists. RESULTS:By exploiting expression data publicly available in the Gene Expression Omnibus (GEO) d...

journal_title：BMC bioinformatics

authors： Cremaschi P,Rovida S,Sacchi L,Lisa A,Calvi F,Montecucco A,Biamonti G,Bione S,Sacchi G

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide "reverse engineering" of such networks have been successful only for lower eukaryotes with simple genomes. Here we present ARACNE, a n...

journal_title：BMC bioinformatics

authors： Margolin AA,Nemenman I,Basso K,Wiggins C,Stolovitzky G,Dalla Favera R,Califano A

更新日期：2006-03-20 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play important roles in various cellular processes. However, the low quality of current PPI data detected from high-throughput screening techniques has diminished the potential usefulness of the data. We need to develop a method to address the high data noise and incomplet...

journal_title：BMC bioinformatics

authors： Wu M,Li X,Chua HN,Kwoh CK,Ng SK

更新日期：2010-10-15 00:00:00

abstract：BACKGROUND:Bioluminescent proteins (BLPs) widely exist in many living organisms. As BLPs are featured by the capability of emitting lights, they can be served as biomarkers and easily detected in biomedical research, such as gene expression analysis and signal transduction pathways. Therefore, accurate identification o...

journal_title：BMC bioinformatics

authors： Zhang J,Chai H,Yang G,Ma Z

更新日期：2017-06-05 00:00:00

abstract：BACKGROUND:Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many important diseases can be traced down to the gene level, a long-standing research problem is to identify specific gene expression patterns linking t...

journal_title：BMC bioinformatics

authors： Fu LM,Fu-Liu CS

更新日期：2005-03-22 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:Lung adenocarcinoma is the most common type of lung cancer, with high mortality worldwide. Its occurrence and development were thoroughly studied by high-throughput expression microarray, which produced abundant data on gene expression, DNA methylation, and miRNA quantification. However, the hub genes, which...

journal_title：BMC bioinformatics

authors： Fan X,Wang Y,Tang XQ

更新日期：2019-05-01 00:00:00

abstract：BACKGROUND:Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledge stored within the data is to be retrieved. Storing data in ontologies aids its management; ontologies serve as controlled vocabularies that ...

journal_title：BMC bioinformatics

authors： Dadzie AS,Burger A

更新日期：2005-03-24 00:00:00

abstract：BACKGROUND:Next Generation Sequencing (NGS) is a commonly used technology for studying the genetic basis of biological processes and it underpins the aspirations of precision medicine. However, there are significant challenges when dealing with NGS data. Firstly, a huge number of bioinformatics tools for a wide range o...

journal_title：BMC bioinformatics

authors： Iacoangeli A,Al Khleifat A,Sproviero W,Shatunov A,Jones AR,Morgan SL,Pittman A,Dobson RJ,Newhouse SJ,Al-Chalabi A

更新日期：2019-04-27 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