Table 1.
Comparison of TissueNexus with existing functional gene network databases
Databases | Tissues | Gene expression technology | Tissue gene expression | #Datasetsa (all/expression) | #Samples | Methods | References |
---|---|---|---|---|---|---|---|
mouseNet | Not tissue-wise | Microarray | No | 340/333 | 13,634 | Bayesian | (2) |
classifier | |||||||
diseaseQUEST | Multiple tissues | Microarray | No | 174/169 | 2,736 | Bayesian | (5) |
classifier | |||||||
GIANT | Multiple tissues | Microarray | No | 987/980 | 38,000 | Bayesian | (1) |
classifier | |||||||
HumanNet | Not tissue-wise | Microarray (125 datasets) | No | NAb/158 | 16,220 | Bayesian | (6) |
RNA-seq (33 datasets) | likelihood | ||||||
BaiHui | Brain only | Microarray | Yes | 216/213 | 4,688 | Bayesian | (8) |
classifier | |||||||
TissueNexus | Multiple tissues | RNA-seq | Yes | 1,345/1,341 | 52,087 | XGBoost | This work |
aIn the Datasets column, all and expression indicate the numbers of all genomic datasets and only the gene expression datasets used to build functional networks in each database, respectively. Expression is the dominant data type used to construct networks.
bThe number of all integrated datasets is not provided in the original paper.