Description Usage Arguments Value Author(s) Examples

Computes the squared Euclidean distances between all pairs of data point given

1 |

`X` |
A data matrix where each row is a different data point |

`C` |
A data matrix where each row is a different data point. If this matrix is the same as X, pairwise distances for all data points are computed. |

Returns an N x M matrix where N is the number of rows in X and M is the number of rows in M. element (n,m) is the squared Euclidean distance between nth data point in X and mth data point in C

Dr. Anna Goldenberg, Bo Wang, Aziz Mezlini, Feyyaz Demir

1 2 3 4 5 6 7 8 9 10 11 | ```
## Data1 is of size n x d_1,
## where n is the number of patients, d_1 is the number of genes,
## Data2 is of size n x d_2,
## where n is the number of patients, d_2 is the number of methylation
data(Data1)
data(Data2)
## Calculate distance matrices(here we calculate Euclidean Distance,
## you can use other distance, e.g. correlation)
Dist1 = dist2(as.matrix(Data1), as.matrix(Data1))
Dist2 = dist2(as.matrix(Data2), as.matrix(Data2))
``` |

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