From owner-chemistry@ccl.net Sun Mar 16 16:00:01 2008 From: "afortune_+_ujf-grenoble.fr" To: CCL Subject: CCL: ROC curve Message-Id: <-36514-080315072048-13676-8/D/dF8hDclIKDUE5T3HnA,,server.ccl.net> X-Original-From: afortune|ujf-grenoble.fr Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=ISO-8859-1; DelSp="Yes"; format="flowed" Date: Sat, 15 Mar 2008 10:45:17 +0100 MIME-Version: 1.0 Sent to CCL by: afortune.+*+.ujf-grenoble.fr Hi, You can try mROC for Roc curves analysis. Here is an abstract of what mRoc does : =20 http://www.ncbi.nlm.nih.gov/pubmed/11551393 Contact Dr Andrew KRAMAR to get a copy Andrew.Kramar+*+valdorel.fnclcc.fr Best regards. Antoine Fortun=E9 "Boobalan Pachaiyappan boobalanp##gmail.com" =20 a =E9crit : > > Sent to CCL by: "Boobalan Pachaiyappan" [boobalanp**gmail.com] > > Hello All, > > I'm wondering whether there is any free software(s) for academic =20 > researchers to perform ROC curve analysis. Your response is highly =20 > appreciated. > > Boobalan > (UIC) > > > > -=3D This is automatically added to each message by the mailing script =3D= -> > > From owner-chemistry@ccl.net Sun Mar 16 22:33:01 2008 From: "Josef Scheiber mail-$-josef-scheiber.de" To: CCL Subject: CCL: 2nd Call for Papers - "Systems Chemical Biology: Integrating Chemistry and Biology for Network Models" Message-Id: <-36515-080316222717-20043-gWlfLFT5a0AoDbfxHml3xw]-[server.ccl.net> X-Original-From: Josef Scheiber Content-Transfer-Encoding: 7bit Content-Type: text/plain; charset=ISO-8859-1; format=flowed Date: Sun, 16 Mar 2008 21:39:56 -0400 MIME-Version: 1.0 Sent to CCL by: Josef Scheiber [mail**josef-scheiber.de] Systems Chemical Biology: Integrating Chemistry and Biology for Network Models 236th ACS National Meeting Philadelphia, August 17-21, 2008 CINF Division ---------------------------------- Dear Colleagues, Rajarshi Guha and I are organizing a symposium focusing on the use of biological networks and their models for the purposes of drug discovery. Traditionally, such models have been applied to large scale biological systems such as protein-protein interaction networks. Recently, there has been increased interest in the study of these networks to gain a global understanding of biological systems and the impact of small molecules to them in the context of drug discovery. As a result, it has become important that such models integrate small molecules with the usual biological systems. By leveraging the power of established cheminformatics methods along with the network models we get closer to the goal of "systems chemical biology", the full integration of chemical and biological data in the development of better in silico-methods for drug discovery. We invite you to submit contributions that address various computational aspects of this approach including, but not limited to: network construction, integration of multiple data sources in network models, drug repurposing, target identification, polypharmacology, incorporation of chemical structure/similarity into network models, bridging chemical structure and biological structure based network models. Case studies where computational network models have provided experimental insight are also welcome. We would also like to point out that sponsorship opportunities are available. Please use the on-line abstract submission system (OASYS) for submitting your abstract (http://oasys.acs.org/acs/236nm/oasys.htm). OASYS will be accepting abstracts until 24th March, 2008. Please contact Rajarshi or myself if you have any questions. Thanks, Josef Scheiber Novartis josef.scheiber(~)novartis.com Ph: +1-617-871-3697 Rajarshi Guha Indiana University rguha(~)indiana.edu Ph: +1-814-404-5449