CHANGES IN VERSION 1.1.4 ----------------------- NEW FEATURES o Bug fixes o Modify function ('dNetConfidence') keeping the only one edge between two nodes CHANGES IN VERSION 1.1.3 ----------------------- NEW FEATURES o Bug fixes o Modify function ('dNetFind') labelling two node types 'desired' and 'linker' CHANGES IN VERSION 1.1.2 ----------------------- NEW FEATURES o Bug fixes o Modify function ('dNetInduce') enabling multiple components kept CHANGES IN VERSION 1.1.1 ----------------------- NEW FEATURES o Bug fixes CHANGES IN VERSION 1.0.11 ----------------------- NEW FEATURES o Modify functions ('dGSEA', 'visGSEA', 'dGSEAview') enabling inclusion of leading genes o Bug fixes CHANGES IN VERSION 1.0.10 ----------------------- NEW FEATURES o Enable parallel computing on Windows (using the package 'doParallel' instead of 'doMC') o Expand the function 'dPvalAggregate' o Bug fixes CHANGES IN VERSION 1.0.8 ----------------------- NEW FEATURES o Update RData to keep the latest ontologies and networks o Bug fixes CHANGES IN VERSION 1.0.7 ----------------------- NEW FEATURES o Update RData, including Entrez Gene information, and STRING database from version 9.1 to version 10 CHANGES IN VERSION 1.0.6 ----------------------- NEW FEATURES o Bug fixes (such as in 'dCheckParallel') CHANGES IN VERSION 1.0.5 ----------------------- NEW FEATURES o Bug fixes (such as in 'visDAG') for accommodating an incoming package 'dcGOR' o Application in emerging research on cancer patient survival (submitted to Genome Medicine) CHANGES IN VERSION 1.0.4 ----------------------- NEW FEATURES o Bug fixes o Using git (and github) to host latest development version of the package CHANGES IN VERSION 1.0.3 ----------------------- NEW FEATURES o Add functionalities for calculating semantic similarity between ontology terms (and between their annotated genes) o Support for high-performance parallel computing CHANGES IN VERSION 1.0.2 ----------------------- NEW FEATURES o Populate the RData by human-specific knowledge on druggable gene categories o Support for RData load in a more flexible and automatic way o Support for advanced boxplot CHANGES IN VERSION 1.0.0 ----------------------- NEW FEATURES o An integrated framework for high-throughput biological data analysis in terms of network, ontology and evolution o Identification of gene-active networks o Network-based sample classifications and visualisations on 2D landscape o Enrichment analysis using a wide variety of built-in ontologies o Analysis for evolution relevance