A hybrid system of cellular mode and device-to-device （D2D） mode is considered in this paper, where the cellular resource is reused by the D2D transmission. With the objective of capacity maximization, the power opt...A hybrid system of cellular mode and device-to-device （D2D） mode is considered in this paper, where the cellular resource is reused by the D2D transmission. With the objective of capacity maximization, the power optimization of D2D sub-system is considered, taking into account quality of service （QoS） requirement. The power optimization problem is divided into two stages： The first stage is the admission control scheme design based on the QoS requirement of D2D users, and the second is power allocation to maximize aggregate throughput of admissible D2D users. For the D2D admission control problem, a heuristic sorting-based algorithm is proposed to index the admissible D2D links, where gain to Interference ratio （GIR） sorting criterion is used. Applying an approximate form of Shannon capacity, the power allocation problem can be solved by convex optimization and geometric programming tools efficiently. Based on the theoretical analysis, a practical algorithm is proposed. The precision can reach a trade-off between complexity and performance. Numerical simulation results confirm that combining with GIR sorting method, the proposed scheme can significantly improve the D2D system＇s capacity and fairness.展开更多
Background:Pooled CRISPR screen is a promising tool in drug targets or essential genes identification with the utilization of three different systems including CRISPR knockout(CRISPRko),CRISPR interference(CRISPRi)and...Background:Pooled CRISPR screen is a promising tool in drug targets or essential genes identification with the utilization of three different systems including CRISPR knockout(CRISPRko),CRISPR interference(CRISPRi)and CRISPR activation(CRISPRa).Aside from continuous improvements in technology,more and more bioinformatics methods have been developed to analyze the data obtained by CRISPR screens which facilitate better understanding of physiological effects.Results:Here,we provide an overview on the application of CRISPR screens and bioinformatics approaches to analyzing different types of CRISPR screen data.We also discuss mechanisms and underlying challenges for the analysis of dropout screens,sorting-based screens and single-cell screens.Conclusion:Different analysis approaches should be chosen based on the design of screens.This review will help community to better design novel algorithms and provide suggestions for wet-lab researchers to choose from different analysis methods.展开更多
基金sponsored by Renesas, the National Natural Science Foundation of China (60572120, 60602058)the National Basic Research Program of China (2009CB320400)+1 种基金the Joint Funds of NSFC-Guangdong (U1035001)the Chinese Major Science and Technology Projects (2009ZX03007-004)
文摘A hybrid system of cellular mode and device-to-device （D2D） mode is considered in this paper, where the cellular resource is reused by the D2D transmission. With the objective of capacity maximization, the power optimization of D2D sub-system is considered, taking into account quality of service （QoS） requirement. The power optimization problem is divided into two stages： The first stage is the admission control scheme design based on the QoS requirement of D2D users, and the second is power allocation to maximize aggregate throughput of admissible D2D users. For the D2D admission control problem, a heuristic sorting-based algorithm is proposed to index the admissible D2D links, where gain to Interference ratio （GIR） sorting criterion is used. Applying an approximate form of Shannon capacity, the power allocation problem can be solved by convex optimization and geometric programming tools efficiently. Based on the theoretical analysis, a practical algorithm is proposed. The precision can reach a trade-off between complexity and performance. Numerical simulation results confirm that combining with GIR sorting method, the proposed scheme can significantly improve the D2D system＇s capacity and fairness.
基金This study was supported by the Shear Family Foundation(to D.Y.),the American Cancer Society Research Scholar Award(132632-RSG-18-179-01-RMC to D.Y.)National Cancer Institute(1R01CA222274 and R01CA255196 to D.Y.).
文摘Background:Pooled CRISPR screen is a promising tool in drug targets or essential genes identification with the utilization of three different systems including CRISPR knockout(CRISPRko),CRISPR interference(CRISPRi)and CRISPR activation(CRISPRa).Aside from continuous improvements in technology,more and more bioinformatics methods have been developed to analyze the data obtained by CRISPR screens which facilitate better understanding of physiological effects.Results:Here,we provide an overview on the application of CRISPR screens and bioinformatics approaches to analyzing different types of CRISPR screen data.We also discuss mechanisms and underlying challenges for the analysis of dropout screens,sorting-based screens and single-cell screens.Conclusion:Different analysis approaches should be chosen based on the design of screens.This review will help community to better design novel algorithms and provide suggestions for wet-lab researchers to choose from different analysis methods.
