Multi|Omics Data Matcher for Integrative Genomic Analysis

Multi-Omics Data Matcher for Integrative Genomic Analysis - PLOS

We developed a computational approach, Multi-Omics Data Matcher (MODMatcher), to identify and correct sample labeling errors in multiple types of molecular ...

multi-omics data matcher for integrative genomic analysis - PubMed

We developed a computational approach, Multi-Omics Data Matcher (MODMatcher), to identify and correct sample labeling errors in multiple types of molecular ...

Multi-Omics Data Matcher for Integrative Genomic Analysis - PLOS

Figure 1. Gender prediction based on genotype data. The inbreeding coefficient F, the X chromosome heterozygosity rate, is used to infer the gender of samples.

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic ...

Errors in sample annotation or labeling often occur in large-scale genetic or genomic studies and are difficult to avoid completely during data generation ...

Multi-Omics Data Matcher for Integrative Genomic Analysis - Altmetric

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis. Published in. PLoS Computational Biology, August 2014. DOI, 10.1371/journal.pcbi.1003790.

Integrative Analysis of Multi-omics Data for Discovery and Functional ...

Transcriptomic and genomic association approaches have been widely adopted in biomedical research and have successfully identified genes and genetic loci ...

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic ...

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis · Seungyeul Yoo · Tao Huang · Joshua D. Campbell · Eunjee Lee · Zhidong Tu ...

probabilistic multi-omics data matching method for detecting sample ...

8. Yoo. S. ,. Huang. T. ,. Campbell. JD. , et al. . MODMatcher: multi-omics data matcher for integrative genomic analysis . PLoS Comput Biol .

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic ...

Dive into the research topics of 'MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis'. Together they form a unique fingerprint. Omics Data ...

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic ...

Avrum Spira; Jun Zhu. List of references. SA Selamat, Genome-scale analysis of DNA methylation in lung adenocarcinoma and integration with mRNA expression, ...

PathwayMultiomics: An R Package for Efficient Integrative Analysis ...

... matched samples in multi-omics data. We ... Discovery of Multi-Dimensional Modules by Integrative Analysis of Cancer Genomic Data.

Methods for the integration of multi-omics data: mathematical aspects

Methods for the integrative analysis of multi-omics data are ... integrative genomic analyses in cancer. Nat Rev Cancer. 2014, 14 (5): ...

Integrative cross-omics and cross-context analysis elucidates ...

Rich resources of genetic and genomic data are made available for different molecular omic traits from various cellular contexts (e.g., tissues, ...

Integrative OMICS Data-Driven Procedure Using a Derivatized Meta ...

Alternatively, data-driven approaches are based on high-throughput methodologies that provide un-biased genome-wide analysis of multiple omics ...

Integrative Single Sample Gene-set Analysis of Multiple Omics Data

MOGSA is a new integrative multi 'omics single sample gene set analysis method. Integrating diverse biomolecular data increases the power to discover gene sets.

(PDF) A probabilistic multi-omics data matching method for detecting ...

... multi-. omics data matcher for integrative genomic analysis. PLoS. Comput Biol 2014;10(8):e1003790. 9. Cibulskis K, McKenna A, Fennell T, et al. ContEst ...

PIntMF: Penalized Integrative Matrix Factorization method for multi ...

Supplementary data are available at Bioinformatics online. Issue Section: Original Papers > Genome analysis. Associate Editor: Tobias Marschall.

A Guide to Multi-omics Integration Strategies - Front Line Genomics

Genome biology 22, 1-24 (2021). 7. Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573-3587. e29 (2021) ...

Comprehensive Large-Scale Integrative Analysis of Omics Data To ...

Advanced genome mining provides us with an organism's biosynthetic potential, while transcriptomics and proteomics allow insight into pathway ...

TiMEG: an integrative statistical method for partially missing multi ...

Multi-omics data integration is widely used to understand the genetic architecture of disease. In multi-omics association analysis, ...