Skip to content
JournalsWorldThe Global Research Discovery Platform
Login Sign Up
SCHOLARLY PUBLICATION ✓ Open Access

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

Matteo Bersanelli, Ettore Mosca, Daniel Remondini, Enrico Giampieri, Claudia Sala, Gastone Castellani, Luciano Milanesi

📖 BMC Bioinformatics → 📅 2016-01-20 🔗 DOI: 10.1186/s12859-015-0857-9
View Journal Profile → ⬇ Download PDF View Official Paper ↗

📄 Abstract

BACKGROUND: Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem. RESULTS AND CONCLUSIONS: We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.

📤 Share this page

Found this useful? Share it with your network.

𝕏XfFacebookinLinkedIn✆WhatsApp✈Telegram✉EmailMMendeley
✓ Link copied! Paste it on ResearchGate / Academia.edu

🔬 Related Research Papers

BMC Bioinformatics

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

Milos D. Radovic, Mohamed F. Ghalwash et al. 2017-01-03 · Read paper → BMC Bioinformatics

Weakly supervised learning of biomedical information extraction from curated data

Suvir Jain, Rahul Kashyap et al. 2016-01-11 · Read paper → BMC Bioinformatics

Evolutionary programming as a platform for in silico metabolic engineering

Kiran Raosaheb Patil, Isabel Rocha et al. 2005-12-23 · Read paper → BMC Bioinformatics

Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data

Petr Novák, Pavel Neumann, Jir̆ı́ Macas 2010-07-15 · Read paper → BMC Bioinformatics

Comparison of co-expression measures: mutual information, correlation, and model based indices

Lin Song, Peter Langfelder, Steve Horvath 2012-12-01 · Read paper → BMC Bioinformatics

Phamerator: a bioinformatic tool for comparative bacteriophage genomics

Steven G. Cresawn, Matt W. Bogel et al. 2011-10-12 · Read paper → BMC Bioinformatics

SNPs3D: Candidate gene and SNP selection for association studies

Peng Yue, Eugene Melamud, John Moult 2006-03-22 · Read paper → BMC Bioinformatics

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

Svetlin A. Manavski, Giorgio Valle 2008-03-01 · Read paper → BMC Bioinformatics

Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine

Chenghai Xue, Fei Li et al. 2005-12-29 · Read paper → BMC Bioinformatics

Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study

Qiongyi Zhao, Yi Wang et al. 2011-12-01 · Read paper → BMC Bioinformatics

Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0)

Jean‐Marie Cornuet, Virginie Ravigné, Arnaud Estoup 2010-07-28 · Read paper → BMC Bioinformatics

Infrastructure for the life sciences: design and implementation of the UniProt website

Eric Jain, Amos Bairoch et al. 2009-05-08 · Read paper →