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- 저자 : Ryall, Kenneth (검색결과 4 건)
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Ryall, Karen A.,Shin, Jimin,Yoo, Minjae,Hinz, Trista K.,Kim, Jihye,Kang, Jaewoo,Heasley, Lynn E.,Tan, Aik Choon Oxford University Press 2015 Bioinformatics Vol.31 No.23
<P><B>Motivation:</B> Targeted kinase inhibitors have dramatically improved cancer treatment, but kinase dependency for an individual patient or cancer cell can be challenging to predict. Kinase dependency does not always correspond with gene expression and mutation status. High-throughput drug screens are powerful tools for determining kinase dependency, but drug polypharmacology can make results difficult to interpret.</P><P><B>Results:</B> We developed Kinase Addiction Ranker (KAR), an algorithm that integrates high-throughput drug screening data, comprehensive kinase inhibition data and gene expression profiles to identify kinase dependency in cancer cells. We applied KAR to predict kinase dependency of 21 lung cancer cell lines and 151 leukemia patient samples using published datasets. We experimentally validated KAR predictions of FGFR and MTOR dependence in lung cancer cell line H1581, showing synergistic reduction in proliferation after combining ponatinib and AZD8055.</P><P><B>Availability and implementation:</B> KAR can be downloaded as a Python function or a MATLAB script along with example inputs and outputs at: http://tanlab.ucdenver.edu/KAR/.</P><P><B>Contact:</B> aikchoon.tan@ucdenver.edu</P><P><B>Supplementary information:</B> Supplementary data are available at <I>Bioinformatics</I> online.</P>
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Evaluating the distinctiveness and attractiveness of human motions on realistic virtual bodies
Hoyet, Ludovic,Ryall, Kenneth,Zibrek, Katja,Park, Hwangpil,Lee, Jehee,Hodgins, Jessica,O'Sullivan, Carol Association for Computing Machinery 2013 ACM transactions on graphics Vol.32 No.6
<P>Recent advances in rendering and data-driven animation have enabled the creation of compelling characters with impressive levels of realism. While data-driven techniques can produce animations that are extremely faithful to the original motion, many challenging problems remain because of the high complexity of human motion. A better understanding of the factors that make human motion recognizable and appealing would be of great value in industries where creating a variety of appealing virtual characters with realistic motion is required. To investigate these issues, we captured thirty actors walking, jogging and dancing, and applied their motions to the same virtual character (one each for the males and females). We then conducted a series of perceptual experiments to explore the distinctiveness and attractiveness of these human motions, and whether characteristic motion features transfer across an individual's different gaits. Average faces are perceived to be less distinctive but more attractive, so we explored whether this was also true for body motion. We found that dancing motions were most easily recognized and that distinctiveness in one gait does not predict how recognizable the same actor is when performing a different motion. As hypothesized, average motions were always amongst the least distinctive and most attractive. Furthermore, as 50% of participants in the experiment were Caucasian European and 50% were Asian Korean, we found that the latter were as good as or better at recognizing the motions of the Caucasian actors than their European counterparts, in particular for dancing males, whom they also rated more highly for attractiveness.</P>
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DSigDB: drug signatures database for gene set analysis
Yoo, Minjae,Shin, Jimin,Kim, Jihye,Ryall, Karen A.,Lee, Kyubum,Lee, Sunwon,Jeon, Minji,Kang, Jaewoo,Tan, Aik Choon Oxford University Press 2015 Bioinformatics Vol.31 No.18
<P><B>Summary:</B> We report the creation of Drug Signatures Database (DSigDB), a new gene set resource that relates drugs/compounds and their target genes, for gene set enrichment analysis (GSEA). DSigDB currently holds 22 527 gene sets, consists of 17 389 unique compounds covering 19 531 genes. We also developed an online DSigDB resource that allows users to search, view and download drugs/compounds and gene sets. DSigDB gene sets provide seamless integration to GSEA software for linking gene expressions with drugs/compounds for drug repurposing and translational research.</P><P><B>Availability and implementation:</B> DSigDB is freely available for non-commercial use at http://tanlab.ucdenver.edu/DSigDB.</P><P><B>Supplementary information:</B> Supplementary data are available at <I>Bioinformatics</I> online.</P><P><B>Contact:</B> aikchoon.tan@ucdenver.edu</P>
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Jessica M. Mallory,Lisa Kelly-Vance,Brigette Ryalls 대한사고개발학회 2010 The International Journal of Creativity & Problem Vol.20 No.2
Cognitive development and play development are mutually reinforcing. The present study measured the effect of an intervention intended to address both play skills and cognitive skills directly by incorporating divergent thinking prompts into a play-based intervention. The play of six at-risk children was observed and video recorded during independent pretend play. Qualitative and quantitative aspects of this play were recorded. Three at-risk children participated in six week divergent thinking intervention, while three comparison children participated in the general preschool curriculum. Children’s play was observed and recorded pre- and post-intervention. Results indicated that children who participated in the intervention did improve on measures of play quality, quantity, or both more than children who did not participate in the intervention. Implications for educators are discussed.
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