Cascaded classifiers for confidence-based chemical named entity recognition.

Abstract:

BACKGROUND:Chemical named entities represent an important facet of biomedical text. RESULTS:We have developed a system to use character-based n-grams, Maximum Entropy Markov Models and rescoring to recognise chemical names and other such entities, and to make confidence estimates for the extracted entities. An adjustable threshold allows the system to be tuned to high precision or high recall. At a threshold set for balanced precision and recall, we were able to extract named entities at an F score of 80.7% from chemistry papers and 83.2% from PubMed abstracts. Furthermore, we were able to achieve 57.6% and 60.3% recall at 95% precision, and 58.9% and 49.1% precision at 90% recall. CONCLUSION:These results show that chemical named entities can be extracted with good performance, and that the properties of the extraction can be tuned to suit the demands of the task.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Corbett P,Copestake A

doi

10.1186/1471-2105-9-S11-S4

subject

Has Abstract

pub_date

2008-11-19 00:00:00

pages

S4

issn

1471-2105

pii

1471-2105-9-S11-S4

journal_volume

9 Suppl 11

pub_type

杂志文章
  • Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.

    abstract:BACKGROUND:Infections are often associated to comorbidity that increases the risk of medical conditions which can lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but the comorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather have HIV ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-333

    authors: Moni MA,Liò P

    更新日期:2014-10-24 00:00:00

  • Detection of transposable elements by their compositional bias.

    abstract:BACKGROUND:Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition than the host genes, either considering codon usage bias or dinucleotide frequencies. We show here how these compositional differences can be ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-94

    authors: Andrieu O,Fiston AS,Anxolabéhère D,Quesneville H

    更新日期:2004-07-13 00:00:00

  • Evidence for intron length conservation in a set of mammalian genes associated with embryonic development.

    abstract:BACKGROUND:We carried out an analysis of intron length conservation across a diverse group of nineteen mammalian species. Motivated by recent research suggesting a role for time delays associated with intron transcription in gene expression oscillations required for early embryonic patterning, we searched for examples ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S9-S16

    authors: Seoighe C,Korir PK

    更新日期:2011-10-05 00:00:00

  • Quick, "imputation-free" meta-analysis with proxy-SNPs.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-231

    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

  • MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data.

    abstract:BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-395

    authors: Pluskal T,Castillo S,Villar-Briones A,Oresic M

    更新日期:2010-07-23 00:00:00

  • ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-61

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

    更新日期:2013-02-22 00:00:00

  • Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model.

    abstract:BACKGROUND:Hepatocellular carcinoma (HCC) is an aggressive epithelial tumor which shows very poor prognosis and high rate of recurrence, representing an urgent problem for public healthcare. MicroRNAs (miRNAs/miRs) are a class of small, non-coding RNAs that attract great attention because of their role in regulation of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0836-1

    authors: Del Vecchio F,Gallo F,Di Marco A,Mastroiaco V,Caianiello P,Zazzeroni F,Alesse E,Tessitore A

    更新日期:2015-12-10 00:00:00

  • Bounded search for de novo identification of degenerate cis-regulatory elements.

    abstract:BACKGROUND:The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential cis-regulatory elements. However, in practice many cis-regulatory elements are highly degenerate, precluding the use of an exhaustive word-cou...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-254

    authors: Carlson JM,Chakravarty A,Khetani RS,Gross RH

    更新日期:2006-05-15 00:00:00

  • A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements.

    abstract:BACKGROUND:Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evidence of aberrant splicing causing Mendelian diseases, the implication of such events in multi-genic disorders is yet to be well understood. We...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-22

    authors: Churbanov A,Vorechovský I,Hicks C

    更新日期:2010-01-12 00:00:00

  • ProLego: tool for extracting and visualizing topological modules in protein structures.

    abstract:BACKGROUND:In protein design, correct use of topology is among the initial and most critical feature. Meticulous selection of backbone topology aids in drastically reducing the structure search space. With ProLego, we present a server application to explore the component aspect of protein structures and provide an intu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2171-9

    authors: Khan T,Panday SK,Ghosh I

    更新日期:2018-05-04 00:00:00

  • CNV-WebStore: online CNV analysis, storage and interpretation.

    abstract:BACKGROUND:Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the main bottleneck in routine implementation of high resolution array platforms, and emphasising the need for a centralised and easy to use CNV da...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-4

    authors: Vandeweyer G,Reyniers E,Wuyts W,Rooms L,Kooy RF

    更新日期:2011-01-05 00:00:00

  • OMeta: an ontology-based, data-driven metadata tracking system.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2580-9

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

    更新日期:2019-01-07 00:00:00

  • Multi-omic analysis of signalling factors in inflammatory comorbidities.

    abstract:BACKGROUND:Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of inflammatory diseases is often the culmination of a long series of pathologic events that started years before. The systemic characteristics and relate...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2413-x

    authors: Xiao H,Bartoszek K,Lio' P

    更新日期:2018-11-30 00:00:00

  • A stepwise framework for the normalization of array CGH data.

    abstract:BACKGROUND:In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly used to infer the relative amounts of the test and reference sample DNA levels. This ratio may be influenced by systematic measurement effect...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-274

    authors: Khojasteh M,Lam WL,Ward RK,MacAulay C

    更新日期:2005-11-18 00:00:00

  • Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries.

    abstract:BACKGROUND:Post-transcriptional regulation is a complex mechanism that plays a central role in defining multiple cellular identities starting from a common genome. Modifications in the length of 3'UTRs have been found to play an important role in this context, since alternative 3' UTRs could lead to differences for exa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1254-8

    authors: Grassi E,Mariella E,Lembo A,Molineris I,Provero P

    更新日期:2016-10-18 00:00:00

  • Glycosylator: a Python framework for the rapid modeling of glycans.

    abstract:BACKGROUND:Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N-linked glycosylation, plays an important role in the physiolog...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3097-6

    authors: Lemmin T,Soto C

    更新日期:2019-10-22 00:00:00

  • Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering.

    abstract:BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-114

    authors: de Brevern AG,Hazout S,Malpertuy A

    更新日期:2004-08-23 00:00:00

  • Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer.

    abstract:BACKGROUND:Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histological subtypes and the prediction of clinical outcomes. However, the im...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1891-6

    authors: Liu K,He L,Liu Z,Xu J,Liu Y,Kuang Q,Wen Z,Li M

    更新日期:2017-12-28 00:00:00

  • Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-252

    authors: Deng X,Cheng J

    更新日期:2014-07-25 00:00:00

  • Projections for fast protein structure retrieval.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S5-S5

    authors: Bhattacharya S,Bhattacharyya C,Chandra NR

    更新日期:2006-12-18 00:00:00

  • Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner.

    abstract:BACKGROUND:The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid structural relations...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0866-8

    authors: Gutiérrez FI,Rodriguez-Valenzuela F,Ibarra IL,Devos DP,Melo F

    更新日期:2016-01-05 00:00:00

  • Evaluation of high-throughput functional categorization of human disease genes.

    abstract:BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S3-S7

    authors: Chen JL,Liu Y,Sam LT,Li J,Lussier YA

    更新日期:2007-05-09 00:00:00

  • Modeling the competition between lung metastases and the immune system using agents.

    abstract:BACKGROUND:The Triplex cell vaccine is a cancer cellular vaccine that can prevent almost completely the mammary tumor onset in HER-2/neu transgenic mice. In a translational perspective, the activity of the Triplex vaccine was also investigated against lung metastases showing that the vaccine is an effective treatment a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S7-S13

    authors: Pennisi M,Pappalardo F,Palladini A,Nicoletti G,Nanni P,Lollini PL,Motta S

    更新日期:2010-10-15 00:00:00

  • Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM.

    abstract:BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-340

    authors: Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

    更新日期:2014-11-20 00:00:00

  • Comparative evaluation of gene set analysis approaches for RNA-Seq data.

    abstract:BACKGROUND:Over the last few years transcriptome sequencing (RNA-Seq) has almost completely taken over microarrays for high-throughput studies of gene expression. Currently, the most popular use of RNA-Seq is to identify genes which are differentially expressed between two or more conditions. Despite the importance of ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0397-8

    authors: Rahmatallah Y,Emmert-Streib F,Glazko G

    更新日期:2014-12-05 00:00:00

  • Detection of gene pathways with predictive power for breast cancer prognosis.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-1

    authors: Ma S,Kosorok MR

    更新日期:2010-01-01 00:00:00

  • CNN-based ranking for biomedical entity normalization.

    abstract:BACKGROUND:Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1805-7

    authors: Li H,Chen Q,Tang B,Wang X,Xu H,Wang B,Huang D

    更新日期:2017-10-03 00:00:00

  • Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures.

    abstract:BACKGROUND:Clustering of unannotated transcripts is an important task to identify novel families of noncoding RNAs (ncRNAs). Several hierarchical clustering methods have been developed using similarity measures based on the scores of structural alignment. However, the high computational cost of exact structural alignme...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S1-S48

    authors: Saito Y,Sato K,Sakakibara Y

    更新日期:2011-02-15 00:00:00

  • Predicting protein functions by relaxation labelling protein interaction network.

    abstract:BACKGROUND:One of key issues in the post-genomic era is to assign functions to uncharacterized proteins. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the functions of unknown proteins may be discovered through studying their interactions wit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S1-S64

    authors: Hu P,Jiang H,Emili A

    更新日期:2010-01-18 00:00:00

  • Correction to: Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage.

    abstract::Following publication of the original article [1], the author reported that there are several errors in the original article. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,已发布勘误

    doi:10.1186/s12859-019-3318-z

    authors: Ranjard L,Wong TKF,Rodrigo AG

    更新日期:2020-01-22 00:00:00