標(biāo)題: Titlebook: Computational Methods in Systems Biology; 17th International C Luca Bortolussi,Guido Sanguinetti Conference proceedings 2019 Springer Natur [打印本頁(yè)] 作者: formation 時(shí)間: 2025-3-21 19:03
書(shū)目名稱(chēng)Computational Methods in Systems Biology影響因子(影響力)
書(shū)目名稱(chēng)Computational Methods in Systems Biology影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Computational Methods in Systems Biology網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Computational Methods in Systems Biology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Computational Methods in Systems Biology被引頻次
書(shū)目名稱(chēng)Computational Methods in Systems Biology被引頻次學(xué)科排名
書(shū)目名稱(chēng)Computational Methods in Systems Biology年度引用
書(shū)目名稱(chēng)Computational Methods in Systems Biology年度引用學(xué)科排名
書(shū)目名稱(chēng)Computational Methods in Systems Biology讀者反饋
書(shū)目名稱(chēng)Computational Methods in Systems Biology讀者反饋學(xué)科排名
作者: 刺耳的聲音 時(shí)間: 2025-3-21 22:42
Sequential Reprogramming of Biological Network Fatee. The rewiring is caused by specific network action either inhibiting or over-expressing targeted molecules. In some cases, a therapy abides by a time-scheduled drug administration protocol. Furthermore, some diseases are induced by a sequence of mutations leading to a sequence of actions on molecu作者: 混亂生活 時(shí)間: 2025-3-22 02:33
Control Variates for Stochastic Simulation of Chemical Reaction Networks. However, reducing the statistical uncertainty of the corresponding estimators requires the generation of a large number of simulation runs, which is computationally expensive. To reduce the number of necessary runs, we propose a variance reduction technique based on control variates. We exploit co作者: Cholesterol 時(shí)間: 2025-3-22 05:11
Effective Computational Methods for Hybrid Stochastic Gene Networksdiscontinuous and smooth variation. Hybrid stochastic processes, in particular piecewise-deterministic Markov processes (PDMP), are well adapted for describing such situations. PDMPs approximate the jump Markov processes traditionally used as models for stochastic chemical reaction networks. Althoug作者: 名次后綴 時(shí)間: 2025-3-22 10:48
On Chemical Reaction Network Design by a Nested Evolution Algorithmial vesicles. In this perspective, we consider Chemical Reaction Networks (CRN) as a programming language, and investigate the CRN program synthesis problem. Recent work has shown that CRN interpreted by differential equations are Turing-complete and can be seen as analog computers where the molecul作者: resistant 時(shí)間: 2025-3-22 15:48 作者: resistant 時(shí)間: 2025-3-22 20:25
Cell Volume Distributions in Exponentially Growing Populationspulations. Here we consider a simple and tractable model in which cell volumes grow exponentially, cell division is symmetric, and its rate is volume-dependent. Consistently with previous observations, the model is shown to sustain oscillatory behaviour with alternating phases of slow and fast growt作者: miracle 時(shí)間: 2025-3-22 21:15 作者: Efflorescent 時(shí)間: 2025-3-23 03:24 作者: 考古學(xué) 時(shí)間: 2025-3-23 06:54
Reachability Design Through Approximate Bayesian Computation time-bounds. In the case of stochastic models reachability is associated with a measure of probability which depends on the model’s parameters. In this paper we propose a methodology that, given a reachability specification (for a parametric stochastic model), allows for computing a . probability d作者: HAUNT 時(shí)間: 2025-3-23 13:27 作者: DEAWL 時(shí)間: 2025-3-23 14:05
A Large-Scale Assessment of Exact Model Reduction in the BioModels Repositoryon based on ordinary differential equations and continuous-time Markov chains, respectively. In most cases, these models do not enjoy analytical solution, thus typically requiring expensive computational methods based on numerical solvers or stochastic simulations. Exact model reduction techniques c作者: 使成波狀 時(shí)間: 2025-3-23 18:57
Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints prediction precision, however, depends heavily on which heuristics are applied in order to add linear consequences of the steady state equations of the metabolic network. In this paper we ask the question whether such heuristics can be avoided while obtaining the highest possible precision. This le作者: leniency 時(shí)間: 2025-3-23 22:46
BRE:IN - A Backend for Reasoning About Interaction Networks with Temporal Logicby the RE:IN tool, where an Abstract Boolean Network (ABN) specifies partial information about the network topology, and experimental observations are used to constrain the ABN, allowing to synthesize consistent models, or prove that no consistent model exists. RE:IN has been used successfully to de作者: 十字架 時(shí)間: 2025-3-24 02:45 作者: 不出名 時(shí)間: 2025-3-24 10:19
https://doi.org/10.1007/978-3-319-72532-1nstraints on the statistical moments of the stochastic process to reduce the estimators’ variances. We develop an algorithm that selects appropriate control variates in an on-line fashion and demonstrate the efficiency of our approach on several case studies.作者: Dissonance 時(shí)間: 2025-3-24 12:01
https://doi.org/10.1057/9780230510975lt in varying glycemic control. Such logical characterizations can provide feedback to clinicians and their patients about behavioral changes that patients may implement to improve T1D control. We present both individual- and population-level behavior patterns learned from a clinical dataset of 21 T1D patients.作者: 拔出 時(shí)間: 2025-3-24 15:49 作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-24 22:57
Control Variates for Stochastic Simulation of Chemical Reaction Networksnstraints on the statistical moments of the stochastic process to reduce the estimators’ variances. We develop an algorithm that selects appropriate control variates in an on-line fashion and demonstrate the efficiency of our approach on several case studies.作者: arousal 時(shí)間: 2025-3-25 00:58 作者: Mechanics 時(shí)間: 2025-3-25 07:11 作者: 真實(shí)的人 時(shí)間: 2025-3-25 09:53 作者: acrobat 時(shí)間: 2025-3-25 11:40
Conference proceedings 2019perimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology..作者: 刪除 時(shí)間: 2025-3-25 18:40 作者: INCH 時(shí)間: 2025-3-25 23:22
Dynamics of populations and communities,ically, the single-cell formulation systematically underestimates the proportion of small cells. More generally, our results suggest that measurable characteristics of cells may follow different distributions depending on whether a single-cell lineage or an entire population is considered.作者: 禁止 時(shí)間: 2025-3-26 03:45
Succession in Asian Family Firmshability specification which we show being assessable by using a hybrid automaton as a monitor of a model’s trajectory. An automata-based adaptation of the Approximated Bayesian Computation method is then introduced to estimate the reachability distribution on the parameter space.作者: 輕快帶來(lái)危險(xiǎn) 時(shí)間: 2025-3-26 06:31
Cell Volume Distributions in Exponentially Growing Populationsically, the single-cell formulation systematically underestimates the proportion of small cells. More generally, our results suggest that measurable characteristics of cells may follow different distributions depending on whether a single-cell lineage or an entire population is considered.作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-26 10:41
Reachability Design Through Approximate Bayesian Computationhability specification which we show being assessable by using a hybrid automaton as a monitor of a model’s trajectory. An automata-based adaptation of the Approximated Bayesian Computation method is then introduced to estimate the reachability distribution on the parameter space.作者: 上釉彩 時(shí)間: 2025-3-26 16:41 作者: 你正派 時(shí)間: 2025-3-26 19:38 作者: 寬敞 時(shí)間: 2025-3-26 22:51
Sequential Reprogramming of Biological Network Fateean networks. We present a novel theoretical framework and give an upper bound on the size of control sequences as a function of the number of observed variables. We also define an algorithm for inferring minimal parsimonious control sequences allowing to reach a final state satisfying a particular phenotypic property.作者: 玉米 時(shí)間: 2025-3-27 03:01 作者: 母豬 時(shí)間: 2025-3-27 05:26 作者: crockery 時(shí)間: 2025-3-27 11:01
, and Dynastic Successions in Modern Europe,amming and the minimal sequential reprogramming on a variety of biological networks. The results show that our method can greatly reduce the number of perturbations compared to the one-step reprogramming, while having comparable results with the minimal sequential reprogramming. Moreover, our implem作者: Certainty 時(shí)間: 2025-3-27 15:06 作者: 錫箔紙 時(shí)間: 2025-3-27 20:19 作者: sorbitol 時(shí)間: 2025-3-27 23:08
Katsushi Yamaguchi,Hironori Higashideith high accuracy on real-world data. Optimized classifiers capture biologically relevant miRNAs that are cancer-type specific. The comparison to a single-circuit classifier design approach shows that DCs perform with significantly higher accuracy than individual circuits. The algorithm is implement作者: arabesque 時(shí)間: 2025-3-28 03:50
Dynamics of populations and communities, in input arrival, the circuit exhibits qualitatively distinct observable phenotypes. In particular, these phenotypes are long lived transients: they all converge to a single value, but so slowly, that they seem stable for an extended time period, longer than typical experiment duration. We used rul作者: 緯線 時(shí)間: 2025-3-28 07:56 作者: Pert敏捷 時(shí)間: 2025-3-28 10:40
Perceptions of Security Concerns,sment on the BioModels repository by measuring their compression capability over 667 models. Through a number of selected case studies, we also show their ability in yielding physically interpretable reductions that can reveal dynamical patterns of the bio-molecular processes under consideration.作者: MERIT 時(shí)間: 2025-3-28 18:12
https://doi.org/10.1007/978-3-663-11567-0 providing speed-up gains for some benchmarks, while also enabling extensions of the experimental observations specification language currently supported in RE:IN by using the rich expressive power of temporal logic.作者: Shuttle 時(shí)間: 2025-3-28 20:16 作者: 捐助 時(shí)間: 2025-3-29 02:48 作者: 露天歷史劇 時(shí)間: 2025-3-29 05:47
On Chemical Reaction Network Design by a Nested Evolution Algorithmial evolution to build a CRN that approximates a real function given on finite sets of input values. We present a nested search algorithm that evolves the structure of the CRN and optimizes the kinetic parameters at each generation. We evaluate this algorithm on the Heaviside and Cosine functions bo作者: 占卜者 時(shí)間: 2025-3-29 08:57
Designing Distributed Cell Classifier Circuits Using a Genetic Algorithmith high accuracy on real-world data. Optimized classifiers capture biologically relevant miRNAs that are cancer-type specific. The comparison to a single-circuit classifier design approach shows that DCs perform with significantly higher accuracy than individual circuits. The algorithm is implement作者: extemporaneous 時(shí)間: 2025-3-29 15:18
Transient Memory in Gene Regulation in input arrival, the circuit exhibits qualitatively distinct observable phenotypes. In particular, these phenotypes are long lived transients: they all converge to a single value, but so slowly, that they seem stable for an extended time period, longer than typical experiment duration. We used rul作者: 細(xì)節(jié) 時(shí)間: 2025-3-29 18:23 作者: Countermand 時(shí)間: 2025-3-29 21:56 作者: intertwine 時(shí)間: 2025-3-30 01:48 作者: 血統(tǒng) 時(shí)間: 2025-3-30 05:21 作者: 大看臺(tái) 時(shí)間: 2025-3-30 08:50 作者: dainty 時(shí)間: 2025-3-30 15:07
, and Dynastic Successions in Modern Europe,ng method to compute all sequential reprogramming paths from a source attractor to a target attractor, where only attractors of the network are used as intermediates. Our method is more practical than existing reprogramming methods as it incorporates several practical constraints: (1) only biologica作者: 確認(rèn) 時(shí)間: 2025-3-30 17:28 作者: Morphine 時(shí)間: 2025-3-30 21:35 作者: 持久 時(shí)間: 2025-3-31 00:54
https://doi.org/10.1007/978-981-15-9015-3discontinuous and smooth variation. Hybrid stochastic processes, in particular piecewise-deterministic Markov processes (PDMP), are well adapted for describing such situations. PDMPs approximate the jump Markov processes traditionally used as models for stochastic chemical reaction networks. Althoug作者: gimmick 時(shí)間: 2025-3-31 05:09
Xinchun Li,Jun Ma,Xiao Xiao,Yong Zhaoial vesicles. In this perspective, we consider Chemical Reaction Networks (CRN) as a programming language, and investigate the CRN program synthesis problem. Recent work has shown that CRN interpreted by differential equations are Turing-complete and can be seen as analog computers where the molecul
