標(biāo)題: Titlebook: Biological Networks and Pathway Analysis; Tatiana V. Tatarinova,Yuri Nikolsky Book 2017 Springer Science+Business Media LLC 2017 Protein-p [打印本頁] 作者: Daguerreotype 時間: 2025-3-21 16:37
書目名稱Biological Networks and Pathway Analysis影響因子(影響力)
書目名稱Biological Networks and Pathway Analysis影響因子(影響力)學(xué)科排名
書目名稱Biological Networks and Pathway Analysis網(wǎng)絡(luò)公開度
書目名稱Biological Networks and Pathway Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Biological Networks and Pathway Analysis被引頻次
書目名稱Biological Networks and Pathway Analysis被引頻次學(xué)科排名
書目名稱Biological Networks and Pathway Analysis年度引用
書目名稱Biological Networks and Pathway Analysis年度引用學(xué)科排名
書目名稱Biological Networks and Pathway Analysis讀者反饋
書目名稱Biological Networks and Pathway Analysis讀者反饋學(xué)科排名
作者: Keshan-disease 時間: 2025-3-21 23:18
sbv IMPROVER: Modern Approach to Systems Biology,Novel approaches to biological networks and research quality control are important because of their role in development of new products, improvement, and acceleration of existing health policies and research for novel ways of solving scientific challenges. One such approach is sbv IMPROVER. It is a 作者: 誘惑 時間: 2025-3-22 03:27
Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS),netic models still remain of rather limited practical value for biomedicine. Nevertheless, recent advancements have been made in application of signaling pathway science for real needs of prescription of the most effective drugs for individual patients. The methods for such prescription evaluate the作者: 背信 時間: 2025-3-22 05:21
Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Polecular pathway activation. OF utilizes an algorithm that distinguishes the activator/repressor role of every gene product in a pathway. This method is applicable for the analysis of any physiological, stress, malignancy, and other conditions at the molecular level. OF showed a strong potential to 作者: Commonwealth 時間: 2025-3-22 11:16
Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological e vast and complex datasets for the needs of biomedical research critically depends on a seamless integration of the clinical, genomic, and experimental information with prior knowledge about genotype-phenotype relationships. Such experimental data accumulated in publicly available databases should 作者: Range-Of-Motion 時間: 2025-3-22 15:30
,Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated “Knowledge-Based” Pf its biological complexity and high level of technical and biological noise. One way to deal with both problems is to perform analysis with a high fidelity annotated knowledgebase of protein interactions, pathways, and functional ontologies. This knowledgebase has to be structured in a computer-rea作者: 微生物 時間: 2025-3-22 18:59
Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond,rom omics data. The motivation behind using gene sets instead of individual genes is two-fold. First, this approach incorporates pre-existing biological knowledge into the analysis and facilitates the interpretation of experimental results. Second, it employs a statistical hypotheses testing framewo作者: aesthetician 時間: 2025-3-23 01:14
Search for Master Regulators in Walking Cancer Pathways,goal of this approach is to identify master regulators in gene regulatory networks as potential drug targets for a pathological process. The data analysis strategy includes a state-of-the-art promoter analysis for potential transcription factor (TF)-binding sites using the TRANSFAC. database combine作者: 眨眼 時間: 2025-3-23 02:48
Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcri the rare but abundant quantities. Such distributions are systematically deviated from standard power-law functions proposed by scale-free network models suggesting that more explanatory and predictive probabilistic model(s) are needed. Identification of the mechanism-based data-driven statistical d作者: 河潭 時間: 2025-3-23 07:18 作者: Glucose 時間: 2025-3-23 09:59 作者: Biofeedback 時間: 2025-3-23 16:58
Rule Mining Techniques to Predict Prokaryotic Metabolic Pathways,utomatic annotation system (ARBA4Path Association Rule-Based Annotator for Pathways) that utilizes rule mining techniques to predict metabolic pathways across wide range of prokaryotes. It was demonstrated that specific combinations of protein domains (recorded in our rules) strongly determine pathw作者: bifurcate 時間: 2025-3-23 21:36
ArrayTrack: An FDA and Public Genomic Tool,mic approaches, such as DNA microarrays, inextricably relies on appropriate data management, the ability to extract knowledge from massive amounts of data and the availability of functional information for data interpretation. At the FDA’s National Center for Toxicological Research (NCTR), we are de作者: 引水渠 時間: 2025-3-24 00:41
Identification of Transcriptional Regulators of Psoriasis from RNA-Seq Experiments, of regulation of the disease we performed RNA sequencing (RNA-Seq) analysis of 14 pairs of skin samples collected from psoriatic patients. Subsequent pathway analysis and an extraction of transcriptional regulators governing psoriasis-associated pathways was executed using a combination of MetaCore作者: 很是迷惑 時間: 2025-3-24 04:50 作者: Lethargic 時間: 2025-3-24 09:19 作者: 帶傷害 時間: 2025-3-24 11:17 作者: 拉開這車床 時間: 2025-3-24 16:33 作者: 玷污 時間: 2025-3-24 21:24 作者: Affiliation 時間: 2025-3-25 03:05
Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS), the relative importance for each gene product in a molecular pathway remains unclear unless one call for the methods of parameter sensitivity/stiffness analysis in the interactomic kinetic models of signaling pathway activation in terms of total concentrations of each gene product..Here we show two作者: Unsaturated-Fat 時間: 2025-3-25 04:43
Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pct of micro RNAs (miRs) on the regulation of cellular interactome. Many alternative sources provide information about miRs and their targets. However, instruments elucidating higher level impact of the established total miR profiles are still largely missing. A variant of OncoFinder termed MiRImpact作者: invert 時間: 2025-3-25 10:53 作者: Incompetent 時間: 2025-3-25 15:37 作者: MOAT 時間: 2025-3-25 17:09 作者: 減少 時間: 2025-3-25 23:09 作者: aquatic 時間: 2025-3-26 01:23
Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcripecific binding events. A method for decomposition of specific and nonspecific TF–DNA binding events is proposed. We show that the Kolmogorov–Waring (KW) probability function (PF), modeling the steady state TF binding–dissociation stochastic process, fits well with the EFD for diverse TF–DNA binding作者: DOTE 時間: 2025-3-26 05:32 作者: formula 時間: 2025-3-26 08:51 作者: Jargon 時間: 2025-3-26 12:44 作者: BLOT 時間: 2025-3-26 18:18 作者: 剝皮 時間: 2025-3-26 22:34
Semantic Data Integration and Knowledge Management to Represent Biological Network Associations,as a typical example to illustrate this approach. In this chapter we introduce techniques and concepts (such as ontologies, semantic objects, typed relationships, contexts, graphs, and information layers) that are used to represent complex biomedical networks. The BioXM? Knowledge Management Environ作者: 換話題 時間: 2025-3-27 04:08
Knowledge-Based Compact Disease Models: A Rapid Path from High-Throughput Data to Understanding Caut tool. The resulting subnetworks provided the basis for generating mechanistic hypotheses that were partially validated by mined experimental evidence. This approach differs from previous consistency-based studies in that the cutoff on the Receiver Operating Characteristic of the true–false separat作者: 可憎 時間: 2025-3-27 05:22
Functional Network Disruptions in Schizophrenia,of the topological and spatial structure of functional MRI networks in schizophrenia (a) cannot be explained by a disruption to area-based task-dependent responses, i.e., indeed relates to the emergent properties, (b) is global in nature, affecting most dramatically long-distance correlations, and (作者: Sedative 時間: 2025-3-27 10:52 作者: 拖債 時間: 2025-3-27 13:58
https://doi.org/10.1007/978-3-476-02897-6 the relative importance for each gene product in a molecular pathway remains unclear unless one call for the methods of parameter sensitivity/stiffness analysis in the interactomic kinetic models of signaling pathway activation in terms of total concentrations of each gene product..Here we show two作者: 實施生效 時間: 2025-3-27 21:26
Das Vorbild im Nachbild des Terrorsct of micro RNAs (miRs) on the regulation of cellular interactome. Many alternative sources provide information about miRs and their targets. However, instruments elucidating higher level impact of the established total miR profiles are still largely missing. A variant of OncoFinder termed MiRImpact作者: 熄滅 時間: 2025-3-27 23:42 作者: 惰性女人 時間: 2025-3-28 05:01
https://doi.org/10.1007/978-3-476-02898-3ncludes tools for gene/protein list enrichment analysis, statistical “interactome” tool for the identification of over- and under-connected proteins in the dataset, and a biological network analysis module made up of network generation algorithms and filters. The suite also features Advanced Search,作者: avenge 時間: 2025-3-28 08:24
Kleist Zwischen Aufkl?rung und Romantikof gene sets between two phenotypes. We also present comparative power analysis and Type I error rates for different approaches in each major type of GSA on simulated data. Our evaluation presents a concise guideline for selecting GSA approaches best performing under particular experimental settings作者: locus-ceruleus 時間: 2025-3-28 11:29
https://doi.org/10.1007/978-3-476-02898-3scriptomics and epigenomics data in cancer. The results of this analysis helped us to better understand the molecular mechanisms of cancer development and cancer drug resistance. Such an approach promises to be very effective for rapid and accurate identification of cancer drug targets with true pot作者: Indigence 時間: 2025-3-28 15:28
Das Arcanum der ?Marquise von O….?pecific binding events. A method for decomposition of specific and nonspecific TF–DNA binding events is proposed. We show that the Kolmogorov–Waring (KW) probability function (PF), modeling the steady state TF binding–dissociation stochastic process, fits well with the EFD for diverse TF–DNA binding作者: 思考 時間: 2025-3-28 19:51 作者: 負(fù)擔(dān) 時間: 2025-3-29 02:04
Wasserm?nner, Sirenen und Andere Monsterpproach to the detection of specific DNA sequence motifs based on similarities between the promoters of similarly expressed genes. The approach, realized as . software module, was specifically designed for analysis of very large data sets such as those generated by publicly accessible whole genome a作者: MUTED 時間: 2025-3-29 06:31 作者: 物質(zhì) 時間: 2025-3-29 08:29 作者: badinage 時間: 2025-3-29 12:39
?Kenosis? der Idealistischen ?sthetikas a typical example to illustrate this approach. In this chapter we introduce techniques and concepts (such as ontologies, semantic objects, typed relationships, contexts, graphs, and information layers) that are used to represent complex biomedical networks. The BioXM? Knowledge Management Environ作者: Fortuitous 時間: 2025-3-29 18:29 作者: progestin 時間: 2025-3-29 22:37 作者: certain 時間: 2025-3-30 03:23 作者: 智力高 時間: 2025-3-30 05:19
A Practical Guide to Quantitative Interactor Screening with Next-Generation Sequencing (QIS-Seq),t, allowing many more baits to be tested and many more candidate interacting proteins to be identified. Quantitative data allows the interactors to be ascribed confidence scores based on their enrichment with particular baits, and can identify both common and rare interacting proteins.作者: 虛弱 時間: 2025-3-30 09:11 作者: 本土 時間: 2025-3-30 13:35
Book 2017ble, comprehensive, and cutting-edge, .Biological Networks and Pathway Analysis .presents both “wet lab” experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field..作者: strdulate 時間: 2025-3-30 17:03
https://doi.org/10.1007/978-3-476-02897-6man-readable biological networks with a structured syntax are a powerful way of representing biological information generated from high-density data. This article presents sbv IMPROVER, a crowd-verification approach for the visualization and expansion of biological networks.作者: 考博 時間: 2025-3-30 21:17
?Nichts Drittes … in der Natur??s annotating proteins with unknown function. The prediction models are represented in the form of human-readable rules, and they can be used effectively to add absent pathway information to many proteins in UniProtKB/TrEMBL database.作者: mucous-membrane 時間: 2025-3-31 02:33 作者: Discrete 時間: 2025-3-31 06:53
sbv IMPROVER: Modern Approach to Systems Biology,man-readable biological networks with a structured syntax are a powerful way of representing biological information generated from high-density data. This article presents sbv IMPROVER, a crowd-verification approach for the visualization and expansion of biological networks.作者: receptors 時間: 2025-3-31 12:48
Rule Mining Techniques to Predict Prokaryotic Metabolic Pathways,s annotating proteins with unknown function. The prediction models are represented in the form of human-readable rules, and they can be used effectively to add absent pathway information to many proteins in UniProtKB/TrEMBL database.作者: 星星 時間: 2025-3-31 16:21
Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases,ion to statistical and combinatorial issues in data analyses. This chapter describes computational approaches developed by us and the others to tackle challenges in tissue-specific network analyses, with the main focus on psychiatric diseases.作者: 狂怒 時間: 2025-3-31 20:02 作者: 思考而得 時間: 2025-3-31 22:25 作者: asthma 時間: 2025-4-1 01:54
978-1-4939-8372-8Springer Science+Business Media LLC 2017作者: DAUNT 時間: 2025-4-1 06:21 作者: 橢圓 時間: 2025-4-1 11:14
https://doi.org/10.1007/978-3-476-02897-6Novel approaches to biological networks and research quality control are important because of their role in development of new products, improvement, and acceleration of existing health policies and research for novel ways of solving scientific challenges. One such approach is sbv IMPROVER. It is a 作者: 利用 時間: 2025-4-1 17:28
https://doi.org/10.1007/978-3-476-02897-6netic models still remain of rather limited practical value for biomedicine. Nevertheless, recent advancements have been made in application of signaling pathway science for real needs of prescription of the most effective drugs for individual patients. The methods for such prescription evaluate the作者: impaction 時間: 2025-4-1 20:22
Das Vorbild im Nachbild des Terrorsolecular pathway activation. OF utilizes an algorithm that distinguishes the activator/repressor role of every gene product in a pathway. This method is applicable for the analysis of any physiological, stress, malignancy, and other conditions at the molecular level. OF showed a strong potential to 作者: 絕食 時間: 2025-4-1 23:51 作者: 移動 時間: 2025-4-2 04:44
