Man pages for CTD
A Method for 'Connecting The Dots' in Weighted Graphs
| cohorts_coded | Disease cohorts with coded identifiers |
| data.combineData | Combine datasets |
| data.imputeData | Impute missing values |
| data.surrogateProfiles | Generate surrogate profiles |
| data.zscoreData | Z-transform available data |
| graph.connectToExt | Connect a node to its unvisited "extended" neighbors |
| graph.diffuseP1 | Diffuse Probability P1 from a starting node |
| graph.diffusionSnapShot | Capture the current state of probability diffusion |
| graph.naivePruning | Network pruning for disease-specific network determination |
| graph.netWalkSnapShot | Capture the current location of a network walker |
| Miller2015 | Miller et al. (2015) |
| mle.getEncodingLength | Minimum encoding length |
| mle.getMinPtDistance | Get minimum patient distances |
| mle.getPtBSbyK | Generate patient-specific bitstrings |
| mle.getPtDist | CTDncd: A network-based distance metric. |
| multiNode.getNodeRanks | Generate multi-node node rankings ("adaptive" walk) |
| singleNode.getNodeRanksN | Generate single-node node rankings ("fixed" walk) |
| stat.entropyFunction | Entropy of a bit-string |
| stat.fishersMethod | Fisher's Combined P-value |
| stat.getDirSim | DirSim: The Jaccard distance with directionality... |
| Thistlethwaite2020 | Thistlethwaite et al. (2020) |
| Wangler2017 | Wangler et al. (2017) |
