標題: Titlebook: Systems Biology in Cancer Research and Drug Discovery; Asfar S. Azmi Book 2012 Springer Science+Business Media Dordrecht 2012 Anti-Cancer [打印本頁] 作者: Inoculare 時間: 2025-3-21 19:52
書目名稱Systems Biology in Cancer Research and Drug Discovery影響因子(影響力)
書目名稱Systems Biology in Cancer Research and Drug Discovery影響因子(影響力)學科排名
書目名稱Systems Biology in Cancer Research and Drug Discovery網(wǎng)絡公開度
書目名稱Systems Biology in Cancer Research and Drug Discovery網(wǎng)絡公開度學科排名
書目名稱Systems Biology in Cancer Research and Drug Discovery被引頻次
書目名稱Systems Biology in Cancer Research and Drug Discovery被引頻次學科排名
書目名稱Systems Biology in Cancer Research and Drug Discovery年度引用
書目名稱Systems Biology in Cancer Research and Drug Discovery年度引用學科排名
書目名稱Systems Biology in Cancer Research and Drug Discovery讀者反饋
書目名稱Systems Biology in Cancer Research and Drug Discovery讀者反饋學科排名
作者: 嚙齒動物 時間: 2025-3-21 21:36
Asfar S. AzmiContains a collection chapters from world’s top experts describing systems approaches to cancer research Focussed on the use of latest integrated and systems technologies unique to cancer drug discove作者: SOBER 時間: 2025-3-22 03:30
http://image.papertrans.cn/t/image/884855.jpg作者: insightful 時間: 2025-3-22 07:05
https://doi.org/10.1007/978-94-007-4819-4Anti-Cancer Drug Discovery; Bioinformatics; Cancer; Network Modelling; Systems Biology作者: drusen 時間: 2025-3-22 08:48
with the consent of the instructor. A solution of one similar sample problem from each topic is provided...This fourth book in the series contains eight topics978-3-031-79632-6978-3-031-79633-3Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: DOSE 時間: 2025-3-22 14:13
with the consent of the instructor. A solution of one similar sample problem from each topic is provided...This fourth book in the series contains eight topics978-3-031-79632-6978-3-031-79633-3Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: 健談的人 時間: 2025-3-22 18:47 作者: plasma 時間: 2025-3-22 22:28
Aliccia Bollig-Fischerctor. A solution of one similar sample problem from each topic is provided...This third book in the series contains seven topics on Dynamics, the branch of mech978-3-031-79612-8978-3-031-79613-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: 大量殺死 時間: 2025-3-23 03:16
Emanuela Gadaleta,Rosalind J. Cutts,Ajanthah Sangaralingam,Nicholas R. Lemoine,Claude Chelalactor. A solution of one similar sample problem from each topic is provided...This third book in the series contains seven topics on Dynamics, the branch of mech978-3-031-79612-8978-3-031-79613-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: 側(cè)面左右 時間: 2025-3-23 05:56
ctor. A solution of one similar sample problem from each topic is provided...This third book in the series contains seven topics on Dynamics, the branch of mech978-3-031-79612-8978-3-031-79613-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: CRACK 時間: 2025-3-23 12:27 作者: Cytology 時間: 2025-3-23 17:05
M. M. Quinas-Guerra,T. M. Ribeiro-Rodrigues,Juan Carlos Rodríguez-Manzaneque,Rui D. M. Travassoctor. A solution of one similar sample problem from each topic is provided...This third book in the series contains seven topics on Dynamics, the branch of mech978-3-031-79612-8978-3-031-79613-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: GEM 時間: 2025-3-23 21:30
at several universities. It consists of 18 sets of problems where students are introduced to various topics of the Fluid Mechanics. Each set involves 30 problem978-3-031-79696-8978-3-031-79697-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: SOB 時間: 2025-3-23 23:48 作者: defuse 時間: 2025-3-24 03:52 作者: 悠然 時間: 2025-3-24 10:08
Mariaelena Pierobon,Julie Wulfkuhle,Lance A. Liotta,Emanuel F. Petricoin III PhDat several universities. It consists of 18 sets of problems where students are introduced to various topics of the Fluid Mechanics. Each set involves 30 problem978-3-031-79696-8978-3-031-79697-5Series ISSN 2573-3168 Series E-ISSN 2573-3176 作者: Spongy-Bone 時間: 2025-3-24 11:50 作者: Iniquitous 時間: 2025-3-24 15:55 作者: Indurate 時間: 2025-3-24 22:26
icians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer..978-94-007-9435-1978-94-007-4819-4作者: addict 時間: 2025-3-25 01:50 作者: NEEDY 時間: 2025-3-25 04:46
Systems Biology in Cancer Research and Drug Discovery作者: 喊叫 時間: 2025-3-25 09:00 作者: AWE 時間: 2025-3-25 13:17
Systems Biology Approach to Metabolomics in Cancer Studiesherefore, metabolomics ‘strategies’ are settled in order to understand complex biological systems from an integrated (‘holistic’) point of view. Metabolomics measurements are hence correlated with the time-dependent changes in concentrations of other components (proteins, gene-expression data), in o作者: 脊椎動物 時間: 2025-3-25 18:02
An Integrated Systems Approach to the Study of Pancreatic Cancer the lack of good clinical reporting in studies, the need for detailed controlled vocabularies and the importance of interoperability between research resources to maximise data mining and data sharing.作者: 多余 時間: 2025-3-26 00:00
Protein Microarray: An Ideal Platform for Systems Biologyt we are facing and the future trends of protein microarray technology and its applications for systems biology. We strongly believe that protein microarrays will become a standard technology in both basic research and clinical study.作者: dowagers-hump 時間: 2025-3-26 02:57
Systems Biology of Pancreatic Cancer: The Role of Tumor-Microenvironment Communication in Developmenmplexities of tumor-microenvironment interplay on a quantitative multi-scale level, i.e. by incorporating genomics, transcriptomics, proteomics, epigenomics and functional genomics studies. Integrative analysis of these data aims to dissect inter- and intracellular networks critically contributing t作者: 老巫婆 時間: 2025-3-26 08:03 作者: 策略 時間: 2025-3-26 08:38 作者: Albinism 時間: 2025-3-26 16:27 作者: 高歌 時間: 2025-3-26 20:13 作者: 哀求 時間: 2025-3-27 00:20 作者: Bereavement 時間: 2025-3-27 02:10 作者: eardrum 時間: 2025-3-27 07:29 作者: glomeruli 時間: 2025-3-27 12:12 作者: 殺死 時間: 2025-3-27 15:15 作者: 翅膀拍動 時間: 2025-3-27 20:52
Xia Li,Juan Xu,Yongsheng Lich are a complement to Fluid Mechanics textbooks. The book is the product of material covered in many classes over a period of four decades at several universities. It consists of 18 sets of problems where students are introduced to various topics of the Fluid Mechanics. Each set involves 30 problem作者: CHAR 時間: 2025-3-27 22:30
System Biology Approach to Study Cancer Related Pathwayst of the p53 pathway is analysed as an example, where its network motifs are identified by model selection methods based on the observation of experimental data. With the constructed mechanistic model, biological pathways can be simulated through .experiments to facilitate cancer research.作者: 喪失 時間: 2025-3-28 02:25
Understanding the Dynamics of Tumor Angiogenesis: A Systems Biology Approach, in this chapter, we will focus on models that deal individually with each one of these mechanisms relevant to angiogenesis, as well as with platforms that integrate various models into multiscale models of the whole process.作者: 項目 時間: 2025-3-28 08:35
Applications of Network Bioinformatics to Cancer Angiogenesis angiogenic switch networks, global angiogenesis protein-protein interaction networks, crosstalk among angiogenic pathways, and drug networks. This chapter is for readers who are interested in cancer systems biology and bioinformatics, especially in angiogenesis.作者: GLOOM 時間: 2025-3-28 12:50
Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Reseational algorithms that predict miRNA targets. These target prediction algorithms can potentially provide valuable data-based information for further experimental validation of meaningful miRNA-mRNA interactomes responsible for serious diseases including cancer.作者: Mercurial 時間: 2025-3-28 15:49
Book 2012egrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers esp作者: faction 時間: 2025-3-28 22:14
The Principle of Rational Design of Drug Combination and Personalized Therapy Based on Network Pharmd disease phenotype, is the key “battle map” for rational drug combinations and design of personalized therapy. We also tentatively outline several aspects of the process which might help drive innovation in network construction and shape the future development of network pharmacology applications.作者: 一小塊 時間: 2025-3-29 00:28 作者: V洗浴 時間: 2025-3-29 04:58 作者: miracle 時間: 2025-3-29 09:52
System Biology Approach to Study Cancer Related Pathwayselling methods together with parameter estimation approaches are used to simulate the dynamic features of biological pathways. The core regulation part of the p53 pathway is analysed as an example, where its network motifs are identified by model selection methods based on the observation of experim作者: figure 時間: 2025-3-29 15:19
Modeling Oncogenic Signaling Networks from Gene Expression Dynamicses, termed oncogenes, and inactivation of key tumor suppressor genes. Based on this research, much progress has been made to develop anti-cancer drugs that target the protein products of well-studied oncogenes. However, despite targeted treatment advances, targeted therapies often fail in patients d作者: 凹室 時間: 2025-3-29 18:52 作者: 外貌 時間: 2025-3-29 23:32
Protein Microarray: An Ideal Platform for Systems Biologyex diseases, such as cancer, diabetes, obesity, mental disorders and .. The major driving forces of systems biology are high-throughput “-omics” technologies, ., genomics, transcriptomics, proteomics and metabolomics and .. Featured as high-throughput, miniaturized and capable of parallel analyses, 作者: 起皺紋 時間: 2025-3-30 02:02
Systems Biology of Pancreatic Cancer: The Role of Tumor-Microenvironment Communication in Developmenlignancy-related death in Western countries and the annual death rate due to this disease approximates its annual incidence rate, which is estimated to be ～10 cases per 100,000 population. Although there have been some advancements in surgical techniques and adjuvant therapeutic regimens, the surviv作者: MOTTO 時間: 2025-3-30 05:24
Understanding Cancer Progression Using Protein Interaction Networkser tissues. Understanding cancer progression requires a profound knowledge of the pathways involved in the communication between proteins and genes at a systems level. Consequently, protein-protein interaction networks play an important role in delineating cancer related pathways. Our understanding 作者: Custodian 時間: 2025-3-30 12:09 作者: FOLLY 時間: 2025-3-30 13:44
Applications of Network Bioinformatics to Cancer Angiogenesisy diseases including cancer, age-related macular degeneration, ischemic heart, brain, and skeletal muscle diseases. In this book chapter, we focus on the biological networks associated with angiogenesis in cancer. We review diverse studies on angiogenesis networks, including angiogenic signaling and作者: GROUP 時間: 2025-3-30 17:45 作者: 逃避系列單詞 時間: 2025-3-30 22:32
Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Reseanslational repression. This intricate interplay between miRNAs and mRNA plays significant roles in complex diseases such as cancer. In this review we will introduce the role of several miRNAs known to be associated with different human cancers. More importantly, we will outline many existing computa作者: Folklore 時間: 2025-3-31 04:20
Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-Target Dysregulated Netwoding to the assumption that miRNAs implicated in a specific tumor phenotype will show aberrant regulation of their target genes, we introduce an approach based on the miRNA-target dysregulated network (MTDN) to prioritize novel disease miRNAs. The MTDN is constructed by combining computational targe作者: 通情達理 時間: 2025-3-31 08:59
Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Actl level. However, since genomic and transcript profiling likely cannot alone sufficiently predict protein pathway activation in each patient’s tumor, and it is these signaling pathways that represent the targets for new molecular guided therapeutics. Thus, it is critical that we begin to define huma
