AATP_TPC

pssm_name

<p>For getting this features which have been used to protein structural class prediction,
at first mean of every column in PSSM Matrix is computed to achieve a 20-dimensional vector
called AAC.then by combining it with other vector of length 400 called TPC, which is similar to <code><a rd-options="" href="/link/dpc_pssm?package=PSSMCOOL&version=0.2.4" data-mini-rdoc="PSSMCOOL::dpc_pssm">dpc_pssm</a></code>
AATP feature vector of length 420 is obtained.</p>

Returns almost all features that has been extracted from Position Specific
Scoring Matrix (PSSM) so far, which is a matrix of L rows (L is protein length)
and 20 columns produced by 'PSI-BLAST' which is a program to produce
PSSM Matrix from multiple sequence alignment of proteins
see <https://www.ncbi.nlm.nih.gov/books/NBK2590/> for mor details. some
of these features are described in Zahiri, J., et al.(2013)
<DOI:10.1016/j.ygeno.2013.05.006>,
Saini, H., et al.(2016)
<DOI:10.17706/jsw.11.8.756-767>,
Ding, S., et al.(2014)
<DOI:10.1016/j.biochi.2013.09.013>,
Cheng, C.W., et al.(2008)
<DOI:10.1186/1471-2105-9-S12-S6>,
Juan, E.Y., et al.(2009)
<DOI:10.1109/CISIS.2009.194>.

Alireza mohammadi

PSSMCOOL

Features Extracted from Position Specific Scoring Matrix (PSSM)

AATP_TPC function

<p>For getting this features which have been used to protein structural class prediction,
at first mean of every column in PSSM Matrix is computed to achieve a 20-dimensional vector
called AAC.then by combining it with other vector of length 400 called TPC, which is similar to <code><a rd-options='' href='dpc_pssm'>dpc_pssm</a></code>
AATP feature vector of length 420 is obtained.</p>

AATP_TPC: AATP_TPC feature vector

Description

Usage

Arguments

Value

References

See Also

Examples