reviews Title : Visualising associations between paired ` omics ' data sets

Title: Visualising Associations between Pairedòmics' Data Sets

Visualising large data sets

Large data sets are different and new methods of display are needed for dealing with them. This paper reviews the standard problems in displaying large numbers of cases and variables, both continuous and categorical, and emphasises the need for improving current software. Much could be achieved by adding interactive tools to standard displays to provide greater flexibility and to facilitate a m...

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis

Errors in sample annotation or labeling often occur in large-scale genetic or genomic studies and are difficult to avoid completely during data generation and management. For integrative genomic studies, it is critical to identify and correct these errors. Different types of genetic and genomic data are inter-connected by cis-regulations. On that basis, we developed a computational approach, Mu...

LinkedOmics: analyzing multi-omics data within and across 32 cancer types

The LinkedOmics database contains multi-omics data and clinical data for 32 cancer types and a total of 11 158 patients from The Cancer Genome Atlas (TCGA) project. It is also the first multi-omics database that integrates mass spectrometry (MS)-based global proteomics data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) on selected TCGA tumor samples. In total, LinkedOmic...

Author’s response to reviews Title: Sparse Generalized Linear Model with L0 Approximation for Feature Selection and Prediction with Big Omics Data Authors:

Dear Editor: We have attempted to address the reviewer’s concerns for our paper entitled “Sparse Generalized Linear Model with L0 Approximation for Feature Selection and Prediction with Big Omics Data”. The revised manuscript is attached. We want to thank the reviewer and Associate Editor for their constructive comments. The point-to-point responses to reviewer’s comments are below. Thank you. ...