PPT-Expanding and Evaluating Network Motif Simplification

Cody Dunne and Ben Shneiderman cdunne ben csumdedu 30 th Annual HumanComputer Interaction Lab Symposium May 2223 2013 College Park MD Who Uses Network Analysis Network Analysis is Hard. What’s a motif paper?. A motif paper allows you to focus on an aspect of a short story, play, or novel. . By exploring a single motif, you are able to draw conclusions and offer insight into the motivation or message of a particular piece of literature.. Simon Andrews. simon.andrews@babraham.ac.uk. @. simon_andrews. v. 1.0. 1. Rationale. 2. Gene A. Gene B. Gene C. Hit A. Hit B. Hit C. Prom A. Prom B. Prom C. GGATCC. GGATCC. GGATCC. Basic Questions. Does the sequence around my hits look unusual?. Lexical Simplification. A subtask of text simplification. Replacing words or short phrases by . simpler variants. in a context aware fashion. Motivation. To reach out to wider range of readers having limited vocabulary. David Kauchak. CS159 – Fall 2014. Collaborators: Will . Coster. , Dan . Feblowitz. . and . Gondy. Leroy. Admin. Paper draft due 5pm Wednesday. Must be done with all of your experiments. “Results” section is required. . . SIMPLIFICATION. . The Road Map. 2. TSI in. Place. Hi Speed. Conv Loc & pass. Off TENS. TSI . Conformity. New Vehicles. Networks. Open points. Updates. Interoperability . Mutual recognition . on . a Network. Thomas . Lidbetter. London School of Economics. Joint work with Steve . Alpern. GRASTA 2014. Wedneday. 2. nd. April 2014. An . pathwise. search. . on a network with root . is a continuous unit speed path starting at the root.. Zhizhuo. Zhang . Outline. Review of Mixture Model and EM algorithm. Importance Sampling. Re-sampling EM. Extending EM. Integrate Other Features. Result. Review Motif Finding: Mixture modeling. Given a dataset . simon.andrews@babraham.ac.uk. @. simon_andrews. v. 1.0. 1. Rationale. 2. Gene A. Gene B. Gene C. Hit A. Hit B. Hit C. Prom A. Prom B. Prom C. GGATCC. GGATCC. GGATCC. Basic Questions. Does the sequence around my hits look unusual?. Text Simplification David Kauchak CS159 – Spring 2019 Collaborators: Will Coster , Dan Feblowitz and Gondy Leroy Admin Final projects Wednesday’s lecture Text simplification Any intelligent fool can make things bigger, more complex, and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction. Motif 4. Motif 4. Motif 5. Motif 6. Supplementary . Figure . S2. . Amino acid sequence alignment of the five members of the Arabidopsis PAR1-family proteins (LAT1-5) shows a number of conserved regions and motifs throughout the protein sequence. Motifs were identified using Multiple . Expanding Networks. When do we need expansion:. Network cable is full of data movements. Printing tasks needs longer time. Applications response is low. How? :. Dividing a large network into smaller groups of networks. Traffic . M. odel . S. imulations. Date: . 2013-11-12. Authors:. Abstract. We discussed in 13/0728r0 and 13/1144r1 that . s. mall . packets consume a relatively large part of the capacity in today’s wireless . ADONE Trial. Simplification to Efavirenz-Tenofovir DF-Emtricitabine . ADONE: Study Design. Source: . Airoldi. M, et al. Patient Prefer Adherence. 2010;4:115-25.. Study Design: ADONE Study . Background. CS159 – Fall 2014. Collaborators: Will . Coster. , Dan . Feblowitz. . and . Gondy. Leroy. Admin. Paper draft due 5pm Wednesday. Must be done with all of your experiments. “Results” section is required.