標(biāo)題: Titlebook: Systems Biology; Integrative Biology Ale? Prokop,Béla Csukás Book 2013 Springer Science+Business Media Dordrecht 2013 computational system [打印本頁] 作者: Callow 時(shí)間: 2025-3-21 19:20
書目名稱Systems Biology影響因子(影響力)
書目名稱Systems Biology影響因子(影響力)學(xué)科排名
書目名稱Systems Biology網(wǎng)絡(luò)公開度
書目名稱Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Systems Biology被引頻次
書目名稱Systems Biology被引頻次學(xué)科排名
書目名稱Systems Biology年度引用
書目名稱Systems Biology年度引用學(xué)科排名
書目名稱Systems Biology讀者反饋
書目名稱Systems Biology讀者反饋學(xué)科排名
作者: 安定 時(shí)間: 2025-3-21 23:08 作者: FAWN 時(shí)間: 2025-3-22 04:29 作者: Antioxidant 時(shí)間: 2025-3-22 08:04 作者: 聯(lián)邦 時(shí)間: 2025-3-22 12:33 作者: Incumbent 時(shí)間: 2025-3-22 14:34
Shinichi Kikuchi,Eberhard O. Voitesearch Center, Yorktown Heights, New York on September 9-10, 1971. This is a very active field of research since efficient techniques for handling sparse matrix calculations are an important aspect of problem solving. In large scale problems, the feasibility of the calculation depends critically on作者: Myocyte 時(shí)間: 2025-3-22 18:34
Vlado Dan?ík,Amrita Basu,Paul Clemonsby finite difference methods, A great deal of effort has been devoted to the design and study of iterative methods for the solution of such linear systems (Varga (1962A), Wachspress (1966A) and Young (1971B)). Among direct methods, i.e. methods which give an exact solution of the finite difference e作者: 縮影 時(shí)間: 2025-3-23 00:28 作者: audiologist 時(shí)間: 2025-3-23 02:57
Amphun Chaiboonchoe,Wiktor Jurkowski,Johann Pellet,Enrico Glaab,Alexey Kolodkin,Antonio Raussel,Antothese equations cannot be solved readily by analytical means. Consequently, efficient computer algorithms for the solution of sparse linear systems derived from the finite difference representations of a partial differential equation on a rectangular grid are of vital importance. In this paper, a ne作者: 變量 時(shí)間: 2025-3-23 09:36 作者: SNEER 時(shí)間: 2025-3-23 09:58
Fotis Georgatos,Stéphane Ballereau,Johann Pellet,Moustafa Ghanem,Nathan Price,Leroy Hood,Yi-Ke Guo,Dons in visual recognition, including sparsity induced similaThis unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting th作者: Commemorate 時(shí)間: 2025-3-23 14:33 作者: 手銬 時(shí)間: 2025-3-23 21:18 作者: 起草 時(shí)間: 2025-3-23 22:31 作者: 小溪 時(shí)間: 2025-3-24 05:43 作者: 坦白 時(shí)間: 2025-3-24 06:50
http://image.papertrans.cn/t/image/884834.jpg作者: Adulterate 時(shí)間: 2025-3-24 12:41
https://doi.org/10.1007/978-94-007-6803-1computational systems biology; integrative biology; systems approach; systems biology作者: 蝕刻 時(shí)間: 2025-3-24 15:45 作者: ellagic-acid 時(shí)間: 2025-3-24 20:30 作者: CLAIM 時(shí)間: 2025-3-24 23:48
Probabilistic Graphical Modeling in Systems Biology: A Framework for Integrative Approachesy to combine heterogeneous sources of data. The applications covered address genetic association studies, identification of protein–protein interactions, identification of the target genes of transcription factors, inference of causal phenotype networks and protein function prediction.作者: narcotic 時(shí)間: 2025-3-25 06:32 作者: Working-Memory 時(shí)間: 2025-3-25 11:15 作者: 善變 時(shí)間: 2025-3-25 14:15
Emergent Properties of Gene Regulatory Networks: Models and Data may shed light on a candidate general dynamical property of biological systems. Several biologically plausible modifications of the original model are reviewed and discussed, and it is also show how RBNs can be applied to describe cell differentiation.作者: 果仁 時(shí)間: 2025-3-25 19:25 作者: prediabetes 時(shí)間: 2025-3-25 20:29
Reconstruction and Comparison of Cellular Signaling Pathway Resources for the Systems-Level Analysislti-pathway) proteins and signal transduction regulators (e.g., phophatases and miRNAs). Accordingly, modern integrated databases are not only essential for studying signaling processes at the systems level, but will also serve as invaluable tools for pharmacology and network-based medicine.作者: 補(bǔ)助 時(shí)間: 2025-3-26 00:24 作者: encomiast 時(shí)間: 2025-3-26 07:42
Computational Infrastructures for Data and Knowledge Management in Systems Biologynges for computational analysis infrastructure, including bottlenecks and most pressing needs that have to be addressed to effectively support the development of systems biology and its application in medicine.作者: larder 時(shí)間: 2025-3-26 08:47 作者: CT-angiography 時(shí)間: 2025-3-26 14:00 作者: FANG 時(shí)間: 2025-3-26 19:20
Comparing Biological Networks: A Survey on Graph Classifying Techniquesworks meaningfully. Therefore we survey classical approaches of exact an inexact graph matching and discuss existing approaches to compare special types of biological networks. Moreover we review graph kernel-based methods and describe an approach based on structural network measures to classify lar作者: Irritate 時(shí)間: 2025-3-26 23:40 作者: 不給啤 時(shí)間: 2025-3-27 02:43
Regulatory Crosstalk Analysis of Biochemical Networks in the Hippocampus and Nucleus Accumbensand cellular mechanisms in the hippocampus and nucleus accumbens. We modeled both types of neurons with a variety of techniques: dynamic equations, constraint-based modeling, and complex network analysis. The last two approaches are called static modeling. In this chapter, we introduced these 3 meth作者: 香料 時(shí)間: 2025-3-27 06:50 作者: Eclampsia 時(shí)間: 2025-3-27 10:41 作者: myriad 時(shí)間: 2025-3-27 17:25
Computational Approaches for Reconstruction of Time-Varying Biological Networks from Omics Datae series node observations (e.g. gene expressions) from a modeling perspective. Time series gene expression data has been extensively used for analysis of gene interaction networks, and studying the influence of regulatory relationships on different phenotypes. Traditional correlation and regression作者: Handedness 時(shí)間: 2025-3-27 21:02 作者: Ambulatory 時(shí)間: 2025-3-28 01:55 作者: 狂亂 時(shí)間: 2025-3-28 03:32 作者: constitutional 時(shí)間: 2025-3-28 06:51 作者: BULLY 時(shí)間: 2025-3-28 12:12 作者: Guaff豪情痛飲 時(shí)間: 2025-3-28 16:06
Computational Infrastructures for Data and Knowledge Management in Systems Biologynities for Information technology (IT) departments. These increased demands have also led to increasing costs for IT infrastructure such as necessary computing power and storage devices, as well as further costs for manpower effort, required for maintenance. This chapter describes some of the challe作者: 悲痛 時(shí)間: 2025-3-28 21:20
Computational Tools and Resources for Integrative Modeling in Systems Biologynal tools that keep track of heterogeneous data of molecules and their interactions. Especially the integration of experimental data and pre-existing knowledge into computational models of biological systems is of considerable importance. . simulations of model behavior under similar conditions as i作者: 粗糙 時(shí)間: 2025-3-29 00:33
Agent-Based Modeling Approaches to Multi-Scale Systems Biology: An Example Agent-Based Model of Acutnt, population-based computational modeling method, is well suited to meeting this goal. By viewing systems as aggregates of populations of interacting components, agent-based models (ABMs) map well to biological conceptual models and present an intuitive means by which biomedical researchers can re作者: 使困惑 時(shí)間: 2025-3-29 05:07
Reconstruction and Comparison of Cellular Signaling Pathway Resources for the Systems-Level Analysis need uniform pathway definitions and curation rules applied to all pathways. Here, we compare KEGG, Reactome, Netpath and SignaLink pathway databases and examine their usefulness in systems-level analysis. Further on, we show that the integration of various bioinformatics databases allows a compreh作者: figurine 時(shí)間: 2025-3-29 11:08 作者: PAN 時(shí)間: 2025-3-29 13:18 作者: 充滿人 時(shí)間: 2025-3-29 17:58
Stéphane Ballereau,Enrico Glaab,Alexei Kolodkin,Amphun Chaiboonchoe,Maria Biryukov,Nikos Vlassis,Hasdeas in each paper. These ideas are interspersed with a brief survey of sparse matrix technology. An extensive unified bibliography is provided for the reader interested in more systematic information. The editors wish to thank Robert K. Brayton for his many helpful suggestions as chairman of the or作者: Acetaminophen 時(shí)間: 2025-3-29 23:49 作者: adduction 時(shí)間: 2025-3-30 02:16
Roberto Serra,Marco Villanideas in each paper. These ideas are interspersed with a brief survey of sparse matrix technology. An extensive unified bibliography is provided for the reader interested in more systematic information. The editors wish to thank Robert K. Brayton for his many helpful suggestions as chairman of the or作者: Medicaid 時(shí)間: 2025-3-30 07:41
Shinichi Kikuchi,Eberhard O. Voithe major ideas in each paper. These ideas are interspersed with a brief survey of sparse matrix technology. An extensive unified bibliography is provided for the reader interested in more systematic information. The editors wish to thank Robert K. Brayton for his many helpful suggestions as chairman of the or978-1-4615-8677-7978-1-4615-8675-3作者: Apoptosis 時(shí)間: 2025-3-30 10:55
Vlado Dan?ík,Amrita Basu,Paul Clemonsn rectangular domains. The two methods are of comparable speed and very fast. According to Hockney (1970A) his method produces an accurate solution of the standard five-point difference approximation of Poisson’s equation on a 128 × 128 mesh in a time corresponding to that of 3 steps of a successive作者: CRP743 時(shí)間: 2025-3-30 14:09
n rectangular domains. The two methods are of comparable speed and very fast. According to Hockney (1970A) his method produces an accurate solution of the standard five-point difference approximation of Poisson’s equation on a 128 × 128 mesh in a time corresponding to that of 3 steps of a successive作者: 工作 時(shí)間: 2025-3-30 16:33 作者: Irritate 時(shí)間: 2025-3-30 22:43 作者: inflate 時(shí)間: 2025-3-31 02:05 作者: DUCE 時(shí)間: 2025-3-31 06:48 作者: 輕率看法 時(shí)間: 2025-3-31 10:51
Gary An,Michael Wandling,Scott Christleyollaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.978-1-4471-7251-2978-1-4471-6714-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
