Description Usage Arguments Value

Takes in as input the read count data corresponding
to one sub-population and the typical gene statistics.
Then it splits the entire range into equally sized bins of
size *k * σ*, where k is a scalar with a default value
of 0.05, and *σ* is the standard deviation of the pulled
expression estimates across the cell-groups.
Each of these bins corresponds to a rank. Therefore, for each group, cell
frequency for each bin maps to a rank. These frequencies are normalized
group-wise by dividing by the total cell count within a concerned group.

1 | ```
findParams(ds, geneStats)
``` |

`ds` |
The (normalized and filtered) read count data corresponding to a sub-population |

`geneStats` |
A vector containing 7 values corresponding to the gene data (maximum, minimum, mean, standard deviation, upper multiple of the standard deviation, lower multiple of standard deviation and log_2(fold change)) |

results A vector containing 5 values (a, b, A, number of bins, R2)

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