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6篇 您的检索式：作者名="Julio Vera"

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		题名	作者	年代	出处	被引量
	1	Artificial intelligence in cancer target identification and drug discovery显示文摘Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as cancer.Here,we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover drugs.First,we describe the scope of artificial intelligence biology analysis for novel anticancer target investigations.Second,we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence algorithms.Finally,we showcase the applications of artificial intelligence approaches in cancer target identification and drug discovery.Taken together,the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer,thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates.	Yujie You Xin Lai Yi Pan Huiru Zheng Julio Vera Suran Liu Senyi Deng Le Zhang	2022	Signal Transduction and Targeted Therapy2022，7，6：	2
	2	Systems biology of JAK-STAT signalling in human malignancies显示文摘	Julio Vera Katja Rateitschak Falko Lange Christina Kossow Olaf Wolkenhauer Robert Jaster	2011	Progress in Biophysics and Molecular Biology2011，，2：	1
	3	Integrated Nonlinear Optimization of Bioprocesses via Linear Programming 显示文摘	Vera Julio Torres N V Moles C G Banga Julio	2003	AIChE Journal2003，49，12：	1
	4	Integrated Nonlinear Optimization of Bioprocesses via Linear Programming显示文摘	Vera Julio Torres N V Moles C G Banga Julio	2003	AIChE Journal2003，49，12：	1
	5	Clinical patterns and outcomes of ischaemic colitis: Results of the Working Group for the Study of Ischaemic Colitis in Spain (CIE study)显示文摘	Miguel A. Montoro Lawrence J. Brandt Santos Santolaria Fernando Gomollon Belén Sánchez Puértolas Jesús Vera Luis. Bujanda Angel Cosme José Luis Cabriada Margarita Durán Laura Mata Ana Santamaría Gloria Ce?a Jose Manuel Blas Julio Ponce Marta Ponce Luis Ro	2011	Scandinavian Journal of Gastroenterology2011，，2：	1
	6	Influence of Data Clouds Fusion From 3D RealTime Vision System on Robotic Group Dead Reckoning in Unknown Terrain显示文摘This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefits of the original real-time technical vision system(TVS)based on a dynamic triangulation principle.The method uses TVS output data with fuzzy logic rules processing for resolution stabilization.Based on previous researches,the dynamic communication network model is modified to implement the propagation of information with a feedback method for more stable data exchange inside the robotic group.According to the comparative analysis of approximation methods,in this paper authors are proposing to use two-steps post-processing path planning aiming to get a smooth and energy-saving trajectory.The article provides a wide range of studies and computational experiment results for different scenarios for evaluation of common cloud point influence on robotic motion planning.	Mykhailo Ivanov Oleg Sergyienko Vera Tyrsa Lars Lindner Wendy Flores-Fuentes Julio Cesar Rodriguez-Quinonez Wilmar Hernandez Paolo Mercorelli	2020	IEEE/CAA Journal of Automatica Sinica2020，7，2：	0

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