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The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models

Autor: L. SHI, G. CAMPBELL, W. JONES, F. CAMPAGNE, Z. WEN, S. WALKER, Z. SU, T. CHU, F. GOODSAID, L. PUSZTAI, J. SHAUGHNESSY, A. OBERTHUER, R. THOMAS, R. PAULES, M. FIELDEN, B. BARLOGIE, W. CHEN, P. DU, M. FISCHER, C. FURLANELLO, B. GALLAS, X. GE, D. MEGHERBI, W. SYMMANS, M. WANG, J. ZHANG, H. BITTER, B. BRORS, P. BUSHEL, M. BYLESJO, M. CHEN, J. CHENG, J. CHOU, T. DAVISON, M. DELORENZI, Y. DENG, V. DEVANARAYAN, D. DIX, J. DOPAZO, K. DORFF, F. ELLOUMI, J. FAN, S. FAN, X. FAN, H. FANG, N. GONZALUDO, K. HESS, H. HONG, J. HUAN, R. IRIZARRY, R. JUDSON, D. JURAEVA, S. LABABIDI, C. LAMBERT, L. LI, Y. LI, Z. LI, S. LIN, G. LIU, E. LOBENHOFER, J. LUO, W. LUO, M. MCCALL, Y. NIKOLSKY, G. PENNELLO, R. PERKINS, R. PHILIP, V. POPOVICI, N. PRICE, F. QIAN, A. SCHERER, T. SHI, W. SHI, J. SUNG, D. THIERRY-MIEG, J. THIERRY-MIEG, V. THODIMA, J. TRYGG, L. VISHNUVAJJALA, S. WANG, J. WU, Y. WU, Q. XIE, W. YOUSEF, L. ZHANG, X. ZHANG, S. ZHONG, Y. ZHOU, S. ZHU, D. ARASAPPAN, W. BAO, A. LUCAS, F. BERTHOLD, R. BRENNAN, A. BUNESS, J. CATALANO, C. CHANG, R. CHEN, Y. CHENG, J. CUI, W. CZIKA, F. DEMICHELIS, X. DENG, D. DOSYMBEKOV, R. EILS, Y. FENG, J. FOSTEL, S. FULMER-SMENTEK, J. FUSCOE, L. GATTO, W. GE, D. GOLDSTEIN, L. GUO, D. HALBERT, J. HAN, S. HARRIS, C. HATZIS, D. HERMAN, J. HUANG, R. JENSEN, R. JIANG, C. JOHNSON, G. JURMAN, Y. KAHLERT, S. KHUDER, M. KOHL, J. LI, M. LI, Q. LI, S. LI, J. LIU, Y. LIU, Z. LIU, L. MENG, M. MADERA, F. MARTINEZ-MURILLO, I. MEDINA, J. MEEHAN, K. MICLAUS, R. MOFFITT, D. MONTANER, P. MUKHERJEE, G. MULLIGAN, P. NEVILLE, T. NIKOLSKAYA, B. NING, G. PAGE, J. PARKER, R. PARRY, X. PENG, R. PETERSON, J. PHAN, B. QUANZ, Y. REN, S. RICCADONNA, A. ROTER, F. SAMUELSON, M. SCHUMACHER, J. SHAMBAUGH, Q. SHI, R. SHIPPY, S. SI, A. SMALTER, C. SOTIRIOU, M. SOUKUP, F. STAEDTLER, G. STEINER, T. STOKES, Q. SUN, P. TAN, R. TANG, Z. TEZAK, B. THORN, M. TSYGANOVA, Y. TURPAZ, S. VEGA, R. VISINTAINER, J. VON FRESE, C. WANG, E. WANG, J. WANG, W. WANG, F. WESTERMANN, J. WILLEY, M. WOODS, S. WU, N. XIAO, J. XU, L. XU, L. YANG, X. ZENG, M. ZHANG, C. ZHAO, R. PURI, U. SCHERF, W. TONG, R. WOLFINGER, MAQC Consortium

Publikováno v: NATURE BIOTECHNOLOGY
r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
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r-CIPF: Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
Centro de Investigación Principe Felipe (CIPF)

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0eb81fd072db5db81e074b5d3c89b532
https://fundanet.cipf.es/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2694

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Study of non-uniform link weights on interconnected complex systems with application to multi-agent systems

Autor: D. Megherbi, K. Kotsidou

Publikováno v: CIMSA. 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2005..

This paper deals with a MultiAgent System (MAS) and our primary objective is to study how the behavior of the system changes when the interconnections among the agents exhibit non-uniform link weights. Our main contribution is to show when the system

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b2080195e7ab5cc6db6d7a21f591284
https://doi.org/10.1109/cimsa.2005.1522839

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Real-time velocity feedback obstacle avoidance via complex variables and conformal mapping

Autor: D. Megherbi, William A. Wolovich

Publikováno v: ICRA

A method for mobile robot motion planning is presented for both two- and three-dimensional robots. For the two-dimensional case, the algorithm is based on complex variable theory and conformal mapping. The method gives the robot the capability of avo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4b456910b0a38dc8358e98148aee7b6
https://doi.org/10.1109/robot.1992.220261

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Modeling and automatic real-time motion control of wheeled mobile robots among moving obstacles: theory and applications

Autor: D. Megherbi, William A. Wolovich

Publikováno v: Proceedings of 32nd IEEE Conference on Decision and Control.

Addresses the interesting and difficult problem of real-time planning and efficient motion control of a rigid mobile robot to dynamically avoid obstacle(s) as the latter moves. Most techniques described so far in the literature deal with the simpler

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75913e3f5016816558074c2f64b70688
https://doi.org/10.1109/cdc.1993.325682

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