hsmm_pred class
Description
A single prediction of signalHsmm
.
A stochastic model of signal peptide produced by signalHsmm
.
Details
Always a named list of five elements

sp_probability
is a probability of signal peptide presence. 
sp_start
is a start of potential signal peptide (naively 1 aminoacid). 
sp_end
is a position of last amino acid of signal peptide. 
struc
is numeric vector representing predicted structure of input protein. 
prot
is character vector containing input sequence of amino acids. 
str_approx
has value bigger than 0 if the predicted signal peptide structure was approximated (usually in case of sequences that have no signal peptides).
Always a named list of five elements

aa_group
encoding of amino acids. Seeaaaggregation
for an example. 
pipar
probabilities of initial state in Markov Model. 
tpmpar
matrix of transition probabilities between states. 
od
matrix of response probabilities. Eg. od[1,2] is a probability of signal 2 in state 1. 
overall_probs_log
probabilities of amino acids in mature protein. 
params
matrix of probability distribution for duration. Eg. params[10,2] is probability of duration of time 10 in state 2.
See Also
summary.hsmm_pred
plot.hsmm_pred
train_hsmm
predict.sighsmm_model