This is a multi-part message in MIME format. --------------060509080208070005030601 Content-Type: text/plain; charset=ISO-8859-15; format=flowed Content-Transfer-Encoding: 7bit --------------060509080208070005030601 Content-Type: message/rfc822; name="[BiO BB] question on clustering" Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="[BiO BB] question on clustering" Return-Path: <bio_bulletin_board-admin@bioinformatics.org> Delivered-To: jeff@bioinformatics.org Received: from localhost (localhost.localdomain [127.0.0.1]) by www.bioinformatics.org (Postfix) with ESMTP id 6E5D4D1F3F; Thu, 5 Aug 2004 19:21:11 -0400 (EDT) Received: from www.bioinformatics.org ([127.0.0.1]) by localhost (www.bioinformatics.org [127.0.0.1:10024]) (amavisd-new) with ESMTP id 27699-10; Thu, 5 Aug 2004 19:21:06 -0400 (EDT) Received: from www.bioinformatics.org (localhost.localdomain [127.0.0.1]) by www.bioinformatics.org (Postfix) with ESMTP id C309FD1F1C; Thu, 5 Aug 2004 19:20:19 -0400 (EDT) Delivered-To: bio_bulletin_board@bioinformatics.org Received: from localhost (localhost.localdomain [127.0.0.1]) by www.bioinformatics.org (Postfix) with ESMTP id 9367BD1F1C for <bio_bulletin_board@bioinformatics.org>; Thu, 5 Aug 2004 19:14:30 -0400 (EDT) Received: from www.bioinformatics.org ([127.0.0.1]) by localhost (www.bioinformatics.org [127.0.0.1:10024]) (amavisd-new) with ESMTP id 27699-05 for <bio_bulletin_board@bioinformatics.org>; Thu, 5 Aug 2004 19:14:29 -0400 (EDT) Received: from grassmarket.ucs.ed.ac.uk (grassmarket.ucs.ed.ac.uk [129.215.166.64]) by www.bioinformatics.org (Postfix) with ESMTP id 38D57D1F16 for <bio_bulletin_board@bioinformatics.org>; Thu, 5 Aug 2004 19:14:27 -0400 (EDT) Received: from grassmarket.ucs.ed.ac.uk (localhost [127.0.0.1]) by grassmarket.ucs.ed.ac.uk (8.12.10/8.12.10) with ESMTP id i75NGmcn007644 for <bio_bulletin_board@bioinformatics.org>; Fri, 6 Aug 2004 00:16:48 +0100 (BST) Received: (from nobody@localhost) by grassmarket.ucs.ed.ac.uk (8.12.10/8.12.9/Submit) id i75NGlK7007640 for bio_bulletin_board@bioinformatics.org; Fri, 6 Aug 2004 00:16:47 +0100 (BST) From: FJPB Asselbergs <s0340567@sms.ed.ac.uk> X-Authentication-Warning: grassmarket.ucs.ed.ac.uk: nobody set sender to s0340567@sms.ed.ac.uk using -f Received: from 82-41-18-237.cable.ubr03.edin.blueyonder.co.uk (82-41-18-237.cable.ubr03.edin.blueyonder.co.uk [82.41.18.237]) by sms.ed.ac.uk (IMP) with HTTP for <s0340567@localhost>; Fri, 6 Aug 2004 00:16:47 +0100 Message-ID: <1091747807.4112bfdfb82f7@sms.ed.ac.uk> To: bio_bulletin_board@bioinformatics.org MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-15 Content-Transfer-Encoding: 8bit User-Agent: Internet Messaging Program (IMP) 3.2.3 X-Scanned-By: MIMEDefang 2.33 (www . roaringpenguin . com / mimedefang) Subject: [BiO BB] question on clustering Sender: bio_bulletin_board-admin@bioinformatics.org Errors-To: bio_bulletin_board-admin@bioinformatics.org X-BeenThere: bio_bulletin_board@bioinformatics.org X-Mailman-Version: 2.0.8 Precedence: bulk Reply-To: bio_bulletin_board@bioinformatics.org List-Unsubscribe: <https://bioinformatics.org/mailman/listinfo/bio_bulletin_board>, <mailto:bio_bulletin_board-request@bioinformatics.org?subject=unsubscribe> List-Id: A Bioinformatics.Org members' discussion forum <bio_bulletin_board.bioinformatics.org> List-Post: <mailto:bio_bulletin_board@bioinformatics.org> List-Help: <mailto:bio_bulletin_board-request@bioinformatics.org?subject=help> List-Subscribe: <https://bioinformatics.org/mailman/listinfo/bio_bulletin_board>, <mailto:bio_bulletin_board-request@bioinformatics.org?subject=subscribe> List-Archive: <https://bioinformatics.org/pipermail/bio_bulletin_board/> Date: Fri, 6 Aug 2004 00:16:47 +0100 Hi all, I have a question that concerns my MSc project. I am trying to cluster 30 CCP-modules (Complement Receptor 1) after having used a novel approach that looks at the electrostatic surfaces. I have reached the stage where I have obtained a similarity matrix of 30 by 30 filled with positive scores. The higher a score the more similar two modules are. For example, if matrix entry (3,6) = 13 and entry (3,8) = 24 then module 3 is more similar to module 8 than to module 6 due to a higher score. My problem now is to cluster these 30 modules based on this one similarity matrix. I am not used to have to cluster small datasets or in this case a similarity matrix and not having training data. I have searched around a lot on Google for programs that could cluster my modules using the similarity matrix but so far I have not found anything very helpful. Does anyone know of a program (preferably free software) that could help me out here, or another way which I could easily implement myself in a script, that would be valid? I would really appreciate all replies to this message and thank you all already for looking at this and thinking about this. Thanks and regards, Floris _______________________________________________ BiO_Bulletin_Board maillist - BiO_Bulletin_Board@bioinformatics.org https://bioinformatics.org/mailman/listinfo/bio_bulletin_board --------------060509080208070005030601--