Bayesian Unidimensional Scaling for visualizing uncertainty in high dimensional datasets with latent ordering of observations.

Abstract:

BACKGROUND:Detecting patterns in high-dimensional multivariate datasets is non-trivial. Clustering and dimensionality reduction techniques often help in discerning inherent structures. In biological datasets such as microbial community composition or gene expression data, observations can be generated from a continuous process, often unknown. Estimating data points' 'natural ordering' and their corresponding uncertainties can help researchers draw insights about the mechanisms involved. RESULTS:We introduce a Bayesian Unidimensional Scaling (BUDS) technique which extracts dominant sources of variation in high dimensional datasets and produces their visual data summaries, facilitating the exploration of a hidden continuum. The method maps multivariate data points to latent one-dimensional coordinates along their underlying trajectory, and provides estimated uncertainty bounds. By statistically modeling dissimilarities and applying a DiSTATIS registration method to their posterior samples, we are able to incorporate visualizations of uncertainties in the estimated data trajectory across different regions using confidence contours for individual data points. We also illustrate the estimated overall data density across different areas by including density clouds. One-dimensional coordinates recovered by BUDS help researchers discover sample attributes or covariates that are factors driving the main variability in a dataset. We demonstrated usefulness and accuracy of BUDS on a set of published microbiome 16S and RNA-seq and roll call data. CONCLUSIONS:Our method effectively recovers and visualizes natural orderings present in datasets. Automatic visualization tools for data exploration and analysis are available at: https://nlhuong.shinyapps.io/visTrajectory/ .

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Nguyen LH,Holmes S

doi

10.1186/s12859-017-1790-x

subject

Has Abstract

pub_date

2017-09-13 00:00:00

pages

394

issue

Suppl 10

issn

1471-2105

pii

10.1186/s12859-017-1790-x

journal_volume

18

pub_type

杂志文章
  • SAMSA: a comprehensive metatranscriptome analysis pipeline.

    abstract:BACKGROUND:Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated comp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1270-8

    authors: Westreich ST,Korf I,Mills DA,Lemay DG

    更新日期:2016-09-29 00:00:00

  • Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture.

    abstract:BACKGROUND:Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. RESULTS:In this paper, we accelerate MEME algorithm targeted on Intel Many Integrated Core (MIC) Architectur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2276-1

    authors: Peng S,Cheng M,Huang K,Cui Y,Zhang Z,Guo R,Zhang X,Yang S,Liao X,Lu Y,Zou Q,Shi B

    更新日期:2018-08-13 00:00:00

  • R2R--software to speed the depiction of aesthetic consensus RNA secondary structures.

    abstract:BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-3

    authors: Weinberg Z,Breaker RR

    更新日期:2011-01-04 00:00:00

  • Stepwise kinetic equilibrium models of quantitative polymerase chain reaction.

    abstract:BACKGROUND:Numerous models for use in interpreting quantitative PCR (qPCR) data are present in recent literature. The most commonly used models assume the amplification in qPCR is exponential and fit an exponential model with a constant rate of increase to a select part of the curve. Kinetic theory may be used to model...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-203

    authors: Cobbs G

    更新日期:2012-08-16 00:00:00

  • HTPheno: an image analysis pipeline for high-throughput plant phenotyping.

    abstract:BACKGROUND:In the last few years high-throughput analysis methods have become state-of-the-art in the life sciences. One of the latest developments is automated greenhouse systems for high-throughput plant phenotyping. Such systems allow the non-destructive screening of plants over a period of time by means of image ac...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-148

    authors: Hartmann A,Czauderna T,Hoffmann R,Stein N,Schreiber F

    更新日期:2011-05-12 00:00:00

  • A novel parametric approach to mine gene regulatory relationship from microarray datasets.

    abstract:BACKGROUND:Microarray has been widely used to measure the gene expression level on the genome scale in the current decade. Many algorithms have been developed to reconstruct gene regulatory networks based on microarray data. Unfortunately, most of these models and algorithms focus on global properties of the expression...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S11-S15

    authors: Liu W,Li D,Liu Q,Zhu Y,He F

    更新日期:2010-12-14 00:00:00

  • MPAgenomics: an R package for multi-patient analysis of genomic markers.

    abstract:BACKGROUND:Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures. RESULTS:MPAgenomics, standing for multi-patient analysis (MPA) of genomic markers, is an R-package devoted to: (i) efficient segmentation and (ii) selection of genomic ma...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0394-y

    authors: Grimonprez Q,Celisse A,Blanck S,Cheok M,Figeac M,Marot G

    更新日期:2014-12-14 00:00:00

  • Odyssey: a semi-automated pipeline for phasing, imputation, and analysis of genome-wide genetic data.

    abstract:BACKGROUND:Genome imputation, admixture resolution and genome-wide association analyses are timely and computationally intensive processes with many composite and requisite steps. Analysis time increases further when building and installing the run programs required for these analyses. For scientists that may not be as...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2964-5

    authors: Eller RJ,Janga SC,Walsh S

    更新日期:2019-06-28 00:00:00

  • R/BHC: fast Bayesian hierarchical clustering for microarray data.

    abstract:BACKGROUND:Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. RESULTS:We present an R/Bioconductor port of a fast novel algorithm for...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-242

    authors: Savage RS,Heller K,Xu Y,Ghahramani Z,Truman WM,Grant M,Denby KJ,Wild DL

    更新日期:2009-08-06 00:00:00

  • Quantitative prediction of the effect of genetic variation using hidden Markov models.

    abstract:BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-5

    authors: Liu M,Watson LT,Zhang L

    更新日期:2014-01-09 00:00:00

  • TreeToReads - a pipeline for simulating raw reads from phylogenies.

    abstract:BACKGROUND:Using phylogenomic analysis tools for tracking pathogens has become standard practice in academia, public health agencies, and large industries. Using the same raw read genomic data as input, there are several different approaches being used to infer phylogenetic tree. These include many different SNP pipeli...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1592-1

    authors: McTavish EJ,Pettengill J,Davis S,Rand H,Strain E,Allard M,Timme RE

    更新日期:2017-03-20 00:00:00

  • SpectralNET--an application for spectral graph analysis and visualization.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-260

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

    更新日期:2005-10-19 00:00:00

  • Menoci: lightweight extensible web portal enhancing data management for biomedical research projects.

    abstract:BACKGROUND:Biomedical research projects deal with data management requirements from multiple sources like funding agencies' guidelines, publisher policies, discipline best practices, and their own users' needs. We describe functional and quality requirements based on many years of experience implementing data managemen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03928-1

    authors: Suhr M,Lehmann C,Bauer CR,Bender T,Knopp C,Freckmann L,Öst Hansen B,Henke C,Aschenbrandt G,Kühlborn LK,Rheinländer S,Weber L,Marzec B,Hellkamp M,Wieder P,Sax U,Kusch H,Nussbeck SY

    更新日期:2020-12-17 00:00:00

  • BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.

    abstract:BACKGROUND:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2016-6

    authors: Kim I,Choi S,Kim S

    更新日期:2018-02-19 00:00:00

  • Protein complexes identification based on go attributed network embedding.

    abstract:BACKGROUND:Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods try to incorporate a variety of biological evidences to enhance the quality of predicted complexes. However, it is still a challenge to integrate diffe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2555-x

    authors: Xu B,Li K,Zheng W,Liu X,Zhang Y,Zhao Z,He Z

    更新日期:2018-12-20 00:00:00

  • μHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.

    abstract:BACKGROUND:The miRNAs, a class of short approximately 22-nucleotide non-coding RNAs, often act post-transcriptionally to inhibit mRNA expression. In effect, they control gene expression by targeting mRNA. They also help in carrying out normal functioning of a cell as they play an important role in various cellular proc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-266

    authors: Paul S,Maji P

    更新日期:2013-09-04 00:00:00

  • SamSelect: a sample sequence selection algorithm for quorum planted motif search on large DNA datasets.

    abstract:BACKGROUND:Given a set of t n-length DNA sequences, q satisfying 0 < q ≤ 1, and l and d satisfying 0 ≤ d < l < n, the quorum planted motif search (qPMS) finds l-length strings that occur in at least qt input sequences with up to d mismatches and is mainly used to locate transcription factor binding sites in DNA sequenc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2242-y

    authors: Yu Q,Wei D,Huo H

    更新日期:2018-06-18 00:00:00

  • Towards barcode markers in Fungi: an intron map of Ascomycota mitochondria.

    abstract:BACKGROUND:A standardized and cost-effective molecular identification system is now an urgent need for Fungi owing to their wide involvement in human life quality. In particular the potential use of mitochondrial DNA species markers has been taken in account. Unfortunately, a serious difficulty in the PCR and bioinform...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S6-S15

    authors: Santamaria M,Vicario S,Pappadà G,Scioscia G,Scazzocchio C,Saccone C

    更新日期:2009-06-16 00:00:00

  • TMB-Hunt: an amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins.

    abstract:BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-56

    authors: Garrow AG,Agnew A,Westhead DR

    更新日期:2005-03-15 00:00:00

  • PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.

    abstract:BACKGROUND:Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences. It also plays an important part in identifying protein folds and domains. Although some methods have been presented to the protein solvent accessibilit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0851-2

    authors: Fan C,Liu D,Huang R,Chen Z,Deng L

    更新日期:2016-01-11 00:00:00

  • Systematic integration of experimental data and models in systems biology.

    abstract:BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-582

    authors: Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

    更新日期:2010-11-29 00:00:00

  • Clustering analysis of tumor metabolic networks.

    abstract:BACKGROUND:Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways. Among these, metabolic networks are probably the most studied, as t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03564-9

    authors: Manipur I,Granata I,Maddalena L,Guarracino MR

    更新日期:2020-08-21 00:00:00

  • A platform for processing expression of short time series (PESTS).

    abstract:BACKGROUND:Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time se...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-13

    authors: Sinha A,Markatou M

    更新日期:2011-01-11 00:00:00

  • Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

    abstract:BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3427-8

    authors: Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

    更新日期:2020-03-20 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

  • MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data.

    abstract:BACKGROUND:DNA methylation of CpG dinucleotides is an essential epigenetic modification that plays a key role in transcription. Widely used DNA enrichment-based methods offer high coverage for measuring methylated CpG dinucleotides, with the lowest cost per CpG covered genome-wide. However, these methods measure the DN...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2574-7

    authors: Xu J,Liu S,Yin P,Bulun S,Dai Y

    更新日期:2018-12-22 00:00:00

  • Learning smoothing models of copy number profiles using breakpoint annotations.

    abstract:BACKGROUND:Many models have been proposed to detect copy number alterations in chromosomal copy number profiles, but it is usually not obvious to decide which is most effective for a given data set. Furthermore, most methods have a smoothing parameter that determines the number of breakpoints and must be chosen using v...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-164

    authors: Hocking TD,Schleiermacher G,Janoueix-Lerosey I,Boeva V,Cappo J,Delattre O,Bach F,Vert JP

    更新日期:2013-05-22 00:00:00

  • Insertion and deletion correcting DNA barcodes based on watermarks.

    abstract:BACKGROUND:Barcode multiplexing is a key strategy for sharing the rising capacity of next-generation sequencing devices: Synthetic DNA tags, called barcodes, are attached to natural DNA fragments within the library preparation procedure. Different libraries, can individually be labeled with barcodes for a joint sequenc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0482-7

    authors: Kracht D,Schober S

    更新日期:2015-02-18 00:00:00

  • SemaTyP: a knowledge graph based literature mining method for drug discovery.

    abstract:BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2167-5

    authors: Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

    更新日期:2018-05-30 00:00:00

  • Rigorous assessment and integration of the sequence and structure based features to predict hot spots.

    abstract:BACKGROUND:Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and hel...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-311

    authors: Chen R,Chen W,Yang S,Wu D,Wang Y,Tian Y,Shi Y

    更新日期:2011-07-29 00:00:00