Path: news.mathworks.com!not-for-mail
From: "vicky " <vivek_mutalik@yahoo.com>
Newsgroups: comp.soft-sys.matlab
Subject: Re: Is this kind of regression possible?
Date: Sat, 1 Dec 2007 19:49:45 +0000 (UTC)
Organization: University of California, San Francisco
Lines: 18
Message-ID: <fisdsp$ate$1@fred.mathworks.com>
References: <fio8nm$6k4$1@fred.mathworks.com> <fiqisu$l62$1@fred.mathworks.com> <fiqkd0$a9h$1@fred.mathworks.com> <fiqmvs$c6o$1@fred.mathworks.com> <fis1it$ldn$1@fred.mathworks.com> <fiscca$nma$1@fred.mathworks.com>
Reply-To: "vicky " <vivek_mutalik@yahoo.com>
NNTP-Posting-Host: webapp-05-blr.mathworks.com
Content-Type: text/plain; charset="ISO-8859-1"
Content-Transfer-Encoding: 8bit
X-Trace: fred.mathworks.com 1196538585 11182 172.30.248.35 (1 Dec 2007 19:49:45 GMT)
X-Complaints-To: news@mathworks.com
NNTP-Posting-Date: Sat, 1 Dec 2007 19:49:45 +0000 (UTC)
X-Newsreader: MATLAB Central Newsreader 998324
Xref: news.mathworks.com comp.soft-sys.matlab:440363


>   With an adequate number of sequences, matlab's 
backslash method is 
> designed to solve just that kind of problem, since it is 
really a standard 
> problem in regression when expressed in terms of the 
binary matrix we have 
> discussed.

Yes. backslash requires adequate number of sequences to 
get a meaningful result. However, Princile component or 
partial least square regression will handle any kind of 
matrix, since they can project the data to orthogonal 
latent variables. 
Someone suggested me this problem can 'also be solved if I 
take smaller segments of DNA' and try to get a single 
equation for 'minimizing residual sum of squares'. no 
success yet. Thanks for ur reply.