def callBinPeak(self, pvalue=1e-05):
self.binpeak = []
for i in range(len(self.bins)):
print >> sys.stderr, "Call Pvalue of ", self.chrs[i], "\r",
self.binpeak.append([False for row in range(len(self.bins[i]))])
for j in range(len(self.bins[i])):
if self.bins[i][j] == 0: continue
if prob.poisson_cdf(self.bins[i][j], self.lam, False) < pvalue:
self.binpeak[i][j] = True
def callBinPeak(self,pvalue=1e-05):
self.binpeak=[]
for i in range(len(self.bins)):
print >>sys.stderr,"Call Pvalue of ",self.chrs[i],"\r",
self.binpeak.append([False for row in range(len(self.bins[i]))])
for j in range(len(self.bins[i])):
if self.bins[i][j]==0: continue
if prob.poisson_cdf(self.bins[i][j],self.lam,False)<pvalue:
self.binpeak[i][j]=True
def callBinPeak(self,pvalue=1e-05):
self.pvalue=pvalue
self.binpeak=[]
threshold=1
while 1:
if prob.poisson_cdf(threshold,self.lam,False) < pvalue: break
threshold+=1
for i in range(len(self.bins)):
print >>sys.stderr,"Call Pvalue of ",self.chrs[i],"\r",
self.binpeak.append([False for row in range(len(self.bins[i]))])
for j in range(len(self.bins[i])):
if self.bins[i][j]>=threshold:
# if prob.poisson_cdf(self.bins[i][j],self.lam,False)<pvalue:
# if prob.poisson_cdf(self.bins[i][j],self.lam,False)<pvalue:
self.binpeak[i][j]=True