A decision analysis model for KEGG pathway analysis.

Abstract:

BACKGROUND:The knowledge base-driven pathway analysis is becoming the first choice for many investigators, in that it not only can reduce the complexity of functional analysis by grouping thousands of genes into just several hundred pathways, but also can increase the explanatory power for the experiment by identifying active pathways in different conditions. However, current approaches are designed to analyze a biological system assuming that each pathway is independent of the other pathways. RESULTS:A decision analysis model is developed in this article that accounts for dependence among pathways in time-course experiments and multiple treatments experiments. This model introduces a decision coefficient-a designed index, to identify the most relevant pathways in a given experiment by taking into account not only the direct determination factor of each Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway itself, but also the indirect determination factors from its related pathways. Meanwhile, the direct and indirect determination factors of each pathway are employed to demonstrate the regulation mechanisms among KEGG pathways, and the sign of decision coefficient can be used to preliminarily estimate the impact direction of each KEGG pathway. The simulation study of decision analysis demonstrated the application of decision analysis model for KEGG pathway analysis. CONCLUSIONS:A microarray dataset from bovine mammary tissue over entire lactation cycle was used to further illustrate our strategy. The results showed that the decision analysis model can provide the promising and more biologically meaningful results. Therefore, the decision analysis model is an initial attempt of optimizing pathway analysis methodology.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Du J,Li M,Yuan Z,Guo M,Song J,Xie X,Chen Y

doi

10.1186/s12859-016-1285-1

subject

Has Abstract

pub_date

2016-10-06 00:00:00

pages

407

issue

1

issn

1471-2105

pii

10.1186/s12859-016-1285-1

journal_volume

17

pub_type

杂志文章
  • Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict PPIs. Various machine learning methods have been proposed...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03646-8

    authors: Yang F,Fan K,Song D,Lin H

    更新日期:2020-07-21 00:00:00

  • Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-139

    authors: Bornelöv S,Marillet S,Komorowski J

    更新日期:2014-05-12 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

  • Enhanced JBrowse plugins for epigenomics data visualization.

    abstract:BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2160-z

    authors: Hofmeister BT,Schmitz RJ

    更新日期:2018-04-25 00:00:00

  • Island method for estimating the statistical significance of profile-profile alignment scores.

    abstract:BACKGROUND:In the last decade, a significant improvement in detecting remote similarity between protein sequences has been made by utilizing alignment profiles in place of amino-acid strings. Unfortunately, no analytical theory is available for estimating the significance of a gapped alignment of two profiles. Many exp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-112

    authors: Poleksic A

    更新日期:2009-04-20 00:00:00

  • Analysis and prediction of antibacterial peptides.

    abstract:BACKGROUND:Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the last few decades, the search for new drugs and drug targets has prompted an interest in these antibacterial peptides. We analyzed 486 antibacte...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-263

    authors: Lata S,Sharma BK,Raghava GP

    更新日期:2007-07-23 00:00:00

  • Towards an automatic classification of protein structural domains based on structural similarity.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-74

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

    更新日期:2008-01-31 00:00:00

  • MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data.

    abstract:BACKGROUND:Recent advances in global genomic profiling methodologies have enabled multi-dimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphism...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-243

    authors: Chi B,deLeeuw RJ,Coe BP,Ng RT,MacAulay C,Lam WL

    更新日期:2008-05-20 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

  • LncRNA HOTAIR-mediated Wnt/β-catenin network modeling to predict and validate therapeutic targets for cartilage damage.

    abstract:BACKGROUND:Cartilage damage is a crucial feature involved in several pathological conditions characterized by joint disorders, such as osteoarthritis and rheumatoid arthritis. Accumulated evidences showed that Wnt/β-catenin pathway plays a role in the pathogenesis of cartilage damage. In addition, it is experimentally ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2981-4

    authors: Zhou W,He X,Chen Z,Fan D,Wang Y,Feng H,Zhang G,Lu A,Xiao L

    更新日期:2019-07-31 00:00:00

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • TreeDyn: towards dynamic graphics and annotations for analyses of trees.

    abstract:BACKGROUND:Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-439

    authors: Chevenet F,Brun C,Bañuls AL,Jacq B,Christen R

    更新日期:2006-10-10 00:00:00

  • SAlign-a structure aware method for global PPI network alignment.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03827-5

    authors: Ayub U,Haider I,Naveed H

    更新日期:2020-11-04 00:00:00

  • Image-based classification of plant genus and family for trained and untrained plant species.

    abstract:BACKGROUND:Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by commonality of very specific morphological characters or similarity on the mole...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2474-x

    authors: Seeland M,Rzanny M,Boho D,Wäldchen J,Mäder P

    更新日期:2019-01-03 00:00:00

  • Recursive model for dose-time responses in pharmacological studies.

    abstract:BACKGROUND:Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails to capture the temporal evolution of the curves. On the other hand, one can use Gompertz equation to model the temporal behaviors...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2831-4

    authors: Dhruba SR,Rahman A,Rahman R,Ghosh S,Pal R

    更新日期:2019-06-20 00:00:00

  • MetaMIS: a metagenomic microbial interaction simulator based on microbial community profiles.

    abstract:BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1359-0

    authors: Shaw GT,Pao YY,Wang D

    更新日期:2016-11-25 00:00:00

  • EGNAS: an exhaustive DNA sequence design algorithm.

    abstract:BACKGROUND:The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number of seq...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-138

    authors: Kick A,Bönsch M,Mertig M

    更新日期:2012-06-20 00:00:00

  • Membrane protein orientation and refinement using a knowledge-based statistical potential.

    abstract:BACKGROUND:Recent increases in the number of deposited membrane protein crystal structures necessitate the use of automated computational tools to position them within the lipid bilayer. Identifying the correct orientation allows us to study the complex relationship between sequence, structure and the lipid environment...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-276

    authors: Nugent T,Jones DT

    更新日期:2013-09-18 00:00:00

  • Integrating gene expression and GO classification for PCA by preclustering.

    abstract:BACKGROUND:Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per group can then be used to identify interesting GO categories in relation to the experimental settings. However, the expression profiles present...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-158

    authors: De Haan JR,Piek E,van Schaik RC,de Vlieg J,Bauerschmidt S,Buydens LM,Wehrens R

    更新日期:2010-03-26 00:00:00

  • mRNA:guanine-N7 cap methyltransferases: identification of novel members of the family, evolutionary analysis, homology modeling, and analysis of sequence-structure-function relationships.

    abstract:BACKGROUND:The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-2-2

    authors: Bujnicki JM,Feder M,Radlinska M,Rychlewski L

    更新日期:2001-01-01 00:00:00

  • Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data.

    abstract:BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3118-5

    authors: Chung NC,Miasojedow B,Startek M,Gambin A

    更新日期:2019-12-24 00:00:00

  • Using the multi-objective optimization replica exchange Monte Carlo enhanced sampling method for protein-small molecule docking.

    abstract:BACKGROUND:In this study, we extended the replica exchange Monte Carlo (REMC) sampling method to protein-small molecule docking conformational prediction using RosettaLigand. In contrast to the traditional Monte Carlo (MC) and REMC sampling methods, these methods use multi-objective optimization Pareto front informatio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1733-6

    authors: Wang H,Liu H,Cai L,Wang C,Lv Q

    更新日期:2017-07-10 00:00:00

  • Prototype semantic infrastructure for automated small molecule classification and annotation in lipidomics.

    abstract:BACKGROUND:The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, classify, and analyze these chemical entities have largely remained in ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-303

    authors: Chepelev LL,Riazanov A,Kouznetsov A,Low HS,Dumontier M,Baker CJ

    更新日期:2011-07-26 00:00:00

  • DNAscan: personal computer compatible NGS analysis, annotation and visualisation.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2791-8

    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

  • BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.

    abstract:BACKGROUND:Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such representations, the cell is considered as a system composed of interlocked sub...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03637-9

    authors: Henry V,Saïs F,Inizan O,Marchadier E,Dibie J,Goelzer A,Fromion V

    更新日期:2020-07-23 00:00:00

  • Swellix: a computational tool to explore RNA conformational space.

    abstract:BACKGROUND:The sequence of nucleotides in an RNA determines the possible base pairs for an RNA fold and thus also determines the overall shape and function of an RNA. The Swellix program presented here combines a helix abstraction with a combinatorial approach to the RNA folding problem in order to compute all possible...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1910-7

    authors: Sloat N,Liu JW,Schroeder SJ

    更新日期:2017-11-21 00:00:00

  • Components of the antigen processing and presentation pathway revealed by gene expression microarray analysis following B cell antigen receptor (BCR) stimulation.

    abstract:BACKGROUND:Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-237

    authors: Lee JA,Sinkovits RS,Mock D,Rab EL,Cai J,Yang P,Saunders B,Hsueh RC,Choi S,Subramaniam S,Scheuermann RH,Alliance for Cellular Signaling.

    更新日期:2006-05-02 00:00:00

  • Fpocket: an open source platform for ligand pocket detection.

    abstract:BACKGROUND:Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compound...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-168

    authors: Le Guilloux V,Schmidtke P,Tuffery P

    更新日期:2009-06-02 00:00:00

  • Compartmentalization of the Edinburgh Human Metabolic Network.

    abstract:BACKGROUND:Direct in vivo investigation of human metabolism is complicated by the distinct metabolic functions of various sub-cellular organelles. Diverse micro-environments in different organelles may lead to distinct functions of the same protein and the use of different enzymes for the same metabolic reaction. To be...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-393

    authors: Hao T,Ma HW,Zhao XM,Goryanin I

    更新日期:2010-07-22 00:00:00

  • Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data.

    abstract:BACKGROUND:Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3113-x

    authors: Spirito G,Mangoni D,Sanges R,Gustincich S

    更新日期:2019-11-22 00:00:00