| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bib/Puchades-Carrasco16 |
| P356 | DOI | 10.1093/BIB/BBV077 |
| P698 | PubMed publication ID | 26342127 |
| P2093 | author name string | Antonio Pineda-Lucena | |
| Martina Palomino-Schätzlein | |||
| Leonor Puchades-Carrasco | |||
| Clara Pérez-Rambla | |||
| P2860 | cites work | MetaboMiner--semi-automated identification of metabolites from 2D NMR spectra of complex biofluids | Q21284195 |
| Molecular signatures from omics data: from chaos to consensus | Q24289539 | ||
| HMDB 3.0--The Human Metabolome Database in 2013 | Q24595162 | ||
| Translational biomarker discovery in clinical metabolomics: an introductory tutorial | Q24598642 | ||
| MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data | Q24621590 | ||
| A comparison of normalization methods for high density oligonucleotide array data based on variance and bias | Q27860710 | ||
| NMRPipe: a multidimensional spectral processing system based on UNIX pipes | Q27860859 | ||
| MetaboLab--advanced NMR data processing and analysis for metabolomics | Q28744568 | ||
| Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era | Q29398873 | ||
| ROCR: visualizing classifier performance in R | Q29615821 | ||
| pROC: an open-source package for R and S+ to analyze and compare ROC curves | Q30050695 | ||
| NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy | Q30638302 | ||
| Pathview: an R/Bioconductor package for pathway-based data integration and visualization | Q30641811 | ||
| Data-driven sample size determination for metabolic phenotyping studies | Q30663136 | ||
| MVAPACK: a complete data handling package for NMR metabolomics | Q30766358 | ||
| Normalization of metabolomics data with applications to correlation maps | Q30796282 | ||
| Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets | Q30983576 | ||
| Scaling and normalization effects in NMR spectroscopic metabonomic data sets | Q31035575 | ||
| MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures. | Q31038294 | ||
| Centering, scaling, and transformations: improving the biological information content of metabolomics data | Q31043704 | ||
| Targeted profiling: quantitative analysis of 1H NMR metabolomics data | Q31047473 | ||
| HiRes--a tool for comprehensive assessment and interpretation of metabolomic data | Q31052498 | ||
| Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation | Q31117407 | ||
| matNMR: a flexible toolbox for processing, analyzing and visualizing magnetic resonance data in Matlab | Q33282378 | ||
| Relative power and sample size analysis on gene expression profiling data. | Q33503913 | ||
| A novel R-package graphic user interface for the analysis of metabonomic profiles | Q33513741 | ||
| rNMR: open source software for identifying and quantifying metabolites in NMR spectra | Q33557237 | ||
| A new data mining approach for profiling and categorizing kinetic patterns of metabolic biomarkers after myocardial injury | Q33581735 | ||
| MetPA: a web-based metabolomics tool for pathway analysis and visualization | Q33632049 | ||
| Deconvolution of two-dimensional NMR spectra by fast maximum likelihood reconstruction: application to quantitative metabolomics | Q33883926 | ||
| MetDisease--connecting metabolites to diseases via literature | Q33920397 | ||
| An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data | Q34052563 | ||
| Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data. | Q34089197 | ||
| Metab2MeSH: annotating compounds with medical subject headings | Q34227933 | ||
| MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity | Q34271370 | ||
| State-of-the art data normalization methods improve NMR-based metabolomic analysis | Q34272167 | ||
| NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review | Q34444673 | ||
| The ConsensusPathDB interaction database: 2013 update | Q34473397 | ||
| MetaboID: a graphical user interface package for assignment of 1H NMR spectra of bodyfluids and tissues | Q34509054 | ||
| Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts | Q34714204 | ||
| Identification and quantification of metabolites in (1)H NMR spectra by Bayesian model selection | Q35019657 | ||
| MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach | Q35049837 | ||
| Bioinformatics tools for cancer metabolomics | Q35163111 | ||
| Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN. | Q35172789 | ||
| MetaboAnalyst 3.0--making metabolomics more meaningful | Q35610559 | ||
| The sva package for removing batch effects and other unwanted variation in high-throughput experiments | Q35838453 | ||
| Urine metabolomics analysis for biomarker discovery and detection of jaundice syndrome in patients with liver disease | Q36144160 | ||
| Protein biomarker discovery and validation: the long and uncertain path to clinical utility | Q36561644 | ||
| Metabolomics in epidemiology: sources of variability in metabolite measurements and implications | Q36741738 | ||
| Metabolomics-based methods for early disease diagnostics | Q37266489 | ||
| Composition and quantitation of microalgal lipids by ERETIC ¹H NMR method | Q37304001 | ||
| Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism | Q37318311 | ||
| The complex links between dietary phytochemicals and human health deciphered by metabolomics | Q37599767 | ||
| The role of metabolites and metabolomics in clinically applicable biomarkers of disease. | Q37800811 | ||
| Pharmacometabonomics as an effector for personalized medicine. | Q37822760 | ||
| Metabolomics and surgical oncology: Potential role for small molecule biomarkers | Q37852648 | ||
| Bioinformatic-driven search for metabolic biomarkers in disease | Q37925151 | ||
| Serum metabolomics as a novel diagnostic approach for disease: a systematic review | Q38014695 | ||
| Biomarkers of endometriosis | Q38082053 | ||
| Design and analysis of metabolomics studies in epidemiologic research: a primer on -omic technologies | Q38223336 | ||
| Getting the right answers: understanding metabolomics challenges | Q38263691 | ||
| Sample size calculation in metabolic phenotyping studies | Q38323899 | ||
| Ratio analysis nuclear magnetic resonance spectroscopy for selective metabolite identification in complex samples | Q38708752 | ||
| Small sample issues for microarray-based classification | Q39769700 | ||
| mQTL.NMR: an integrated suite for genetic mapping of quantitative variations of (1)H NMR-based metabolic profiles | Q41171561 | ||
| Focus: a robust workflow for one-dimensional NMR spectral analysis | Q42634000 | ||
| icoshift: A versatile tool for the rapid alignment of 1D NMR spectra | Q42642473 | ||
| Serum metabolome analysis by 1H-NMR reveals differences between chronic lymphocytic leukaemia molecular subgroups. | Q43187905 | ||
| Sample size estimation: a glimpse beyond simple formulas | Q47427783 | ||
| An NMR assignment module implemented in the Gifa NMR processing program. | Q48714555 | ||
| Pathway Activity Profiling (PAPi): from the metabolite profile to the metabolic pathway activity. | Q50567113 | ||
| MetaboQuant: a tool combining individual peak calibration and outlier detection for accurate metabolite quantification in 1D (1)H and (1)H-(13)C HSQC NMR spectra. | Q50855169 | ||
| Processing and modeling of nuclear magnetic resonance (NMR) metabolic profiles. | Q51617326 | ||
| Orthogonal projections to latent structures (O-PLS) | Q56435041 | ||
| PLS-regression: a basic tool of chemometrics | Q56454404 | ||
| muma, An R Package for Metabolomics Univariate and Multivariate Statistical Analysis | Q57953598 | ||
| OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification | Q58045925 | ||
| Statistical Indices for Simultaneous Large-Scale Metabolite Detections for a Single NMR Spectrum | Q58339404 | ||
| Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool | Q58680769 | ||
| P433 | issue | 3 | |
| P921 | main subject | metabolomics | Q12149006 |
| bioinformatics | Q128570 | ||
| biomarker | Q864574 | ||
| P304 | page(s) | 541-552 | |
| P577 | publication date | 2015-09-04 | |
| P1433 | published in | Briefings in Bioinformatics | Q4967031 |
| P1476 | title | Bioinformatics tools for the analysis of NMR metabolomics studies focused on the identification of clinically relevant biomarkers | |
| P478 | volume | 17 |
| Q36319180 | A Review of Recent Advancement in Integrating Omics Data with Literature Mining towards Biomedical Discoveries |
| Q35972166 | Changes in fecal microbiota and metabolomics in a child with juvenile idiopathic arthritis (JIA) responding to two treatment periods with exclusive enteral nutrition (EEN). |
| Q44527109 | Deconvoluting interrelationships between concentrations and chemical shifts in urine provides a powerful analysis tool |
| Q62020445 | Metabolite Identification in Complex Mixtures Using Nuclear Magnetic Resonance Spectroscopy |
| Q58618940 | NMR Spectroscopy and Metal Ions in Life Sciences |
| Q38722471 | Review of emerging metabolomic tools and resources: 2015-2016. |
| Q38814991 | Time is ripe: maturation of metabolomics in chronobiology. |
Search more.