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| Open AccessMulti-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli
Multi-omics data integration is a great challenge. Here, the authors compile a database of E. coliproteomics, transcriptomics, metabolomics and fluxomics data to train models of recurrent neural network and constrained regression, enabling prediction of bacterial responses to perturbations.
- Minseung Kim
- , Navneet Rai
- & Ilias Tagkopoulos
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Article
| Open AccessExtraction and analysis of signatures from the Gene Expression Omnibus by the crowd
A wealth of gene expression data is publicly available, yet is little use without additional human curation. Ma’ayan and colleagues report a crowdsourcing project involving over 70 participants to annotate and analyse thousands of human disease-related gene expression datasets.
- Zichen Wang
- , Caroline D. Monteiro
- & Avi Ma’ayan
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Article
| Open AccessHigh-dimensional genomic data bias correction and data integration using MANCIE
Analyses of data from high-throughput genomic technologies are challenging given large data dimensionality. Here, Liu and colleagues describe a method called MANCIE (Matrix Analysis and Normalization by Concordant Information Enhancement) that can conduct genomic data normalization and bias correction to detect biologically relevant information.
- Chongzhi Zang
- , Tao Wang
- & X. Shirley Liu