Error when only one bulk sample is present

[celinesin]

Heyhey~

Just wanted to let you know about the error thrown when running URSM with only one sample of bulk data. The "problem" is that np.loadtxt loads the data as a single dimensional array, and then
SCexpr.shape[1] != BKexpr.shape[1]:
can not evaluate, because BKexpr.shape is one dimensional (no [1] element)

I fixed it by adding

if len(BKexpr.shape) == 1:
        BKexpr.resize(1,len(BKexpr[:]))

after line 177 in scUnif.py.

Thanks for your work!
Celine