Description Usage Arguments Details Value Examples

Find bimodal distrubition features and divide the samples into 2 groups by k-means clustering.

1 2 | ```
BMfinder(x, p.value = 0.01, maf = 0.05, miss = 0.05, fold = 2, log = FALSE,
cores = detectCores() - 1)
``` |

`x` |
a numeric matrix with feature rows and sample columns, e.g.,
splicing score matrix from |

`p.value` |
p.value threshold for bimodal distrubition test |

`maf` |
minor allele frequency threshold in k-means clustering |

`miss` |
missing grouping rate threshold in k-means clustering |

`fold` |
fold change threshold between the two groups |

`log` |
whether the scores are to be logarithmic. If TRUE, all the scores are log2 tranformed before k-means clustering: x = log2(x+1). |

`cores` |
threads to be used. This value is passed
to |

The matrix contains 1, 2 and NA, and values of 'x' in group 2 are larger than group 1.

a matrix with feature rows and sample columns.

1 2 3 4 5 6 7 8 |

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