標題: Titlebook: Reverse Engineering of Regulatory Networks; Sudip Mandal Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens [打印本頁] 作者: 新石器時代 時間: 2025-3-21 19:10
書目名稱Reverse Engineering of Regulatory Networks影響因子(影響力)
書目名稱Reverse Engineering of Regulatory Networks影響因子(影響力)學科排名
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書目名稱Reverse Engineering of Regulatory Networks網(wǎng)絡(luò)公開度學科排名
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書目名稱Reverse Engineering of Regulatory Networks被引頻次學科排名
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書目名稱Reverse Engineering of Regulatory Networks年度引用學科排名
書目名稱Reverse Engineering of Regulatory Networks讀者反饋
書目名稱Reverse Engineering of Regulatory Networks讀者反饋學科排名
作者: 使迷醉 時間: 2025-3-21 21:39 作者: 面包屑 時間: 2025-3-22 04:13
Sudip MandalIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts作者: offense 時間: 2025-3-22 07:44 作者: arrhythmic 時間: 2025-3-22 11:05
https://doi.org/10.1007/978-1-0716-3461-5gene regulatory networks (GRN); modified metaheuristic; Bioinformatics; Computational Biology; Metabolic作者: Diaphragm 時間: 2025-3-22 13:49
Prakash Kumar,Ranjit Kumar Paul,Himadri Shekhar Roy,Md. Yeasin,Ajit,Amrit Kumar Paul作者: NICHE 時間: 2025-3-22 19:58 作者: 仔細檢查 時間: 2025-3-22 23:13 作者: Encephalitis 時間: 2025-3-23 04:54 作者: LAVA 時間: 2025-3-23 07:17
Systems Biology Approach to Analyze Microarray Datasets for Identification of Disease-Causing Genese potential to reveal previously unidentified causes and consequences of human illness. Genetic, environmental, immunological, or neurological factors have been implicated in the developing complex disorders like cancer. Because of this, it is important to approach the study of such disease from a n作者: 勉強 時間: 2025-3-23 13:08 作者: 我正派 時間: 2025-3-23 17:46
Inference of Dynamic Growth Regulatory Network in Cancer Using High-Throughput Transcriptomic Data,ction of a correlation-based co-expression network to further downstream analysis. We have also outlined the steps for the inclusion of publicly available interaction/regulation information into the dGRN followed by relevant topological inferences. This tutorial has been designed in a way that early作者: Bouquet 時間: 2025-3-23 21:19 作者: 移動 時間: 2025-3-23 22:35
New Insights into Clinical Management for Sickle Cell Disease: Uncovering the Significant Pathways ith age. In our study, we focused on the specific pathways which are affected by the involvement of effected genes. Firstly, we retrieved the gene datasets from the publically available data source website DisGNET. Using literature-based genes, we identified 290 highly regulated genes that are direc作者: PUT 時間: 2025-3-24 06:04
A Review of Computational Approach for S-system-based Modeling of Gene Regulatory Network,vo, etc., with less computational complexity is still an open research problem to all. This paper may help the beginners or researchers who want to continue their research in the field of computational biology and bioinformatics.作者: Heretical 時間: 2025-3-24 06:37
Big Data in Bioinformatics and Computational Biology: Basic Insights,d file formats. Solutions to these problems are tried to present in this chapter. In order to store massive amounts of data and provide a reasonable period for completing search queries, new database management systems other than relational ones will be necessary. Emerging advance programing approac作者: Bravado 時間: 2025-3-24 12:35 作者: coagulate 時間: 2025-3-24 14:55
Prediction and Analysis of Transcription Factor Binding Sites: Practical Examples and Case Studies development. Additionally, an example is presented on how to investigate TFBSs in the upstream regions of a group of genes, using a case study of differentially expressed genes in response to human parainfluenza virus type 1 (HPIV1) infection and interferon-beta. Key regulators identified in this c作者: flammable 時間: 2025-3-24 19:35
Next-Generation Sequencing to Study the DNA Interaction,searching DNA interactions that has completely transformed the area of genomics. NGS has also played an important part in personalized medicine, enabling the discovery of disease-causing mutations and the creation of targeted medicines. Finally, NGS has transformed the field of genomics, resulting i作者: negotiable 時間: 2025-3-24 23:34 作者: NOMAD 時間: 2025-3-25 06:40
1064-3745 ing and avoiding known pitfalls...Authoritative and cutting-edge,?.Reverse Engineering of Regulatory Networks .aims to be a?useful and practical guide to new researchers and experts looking to expand their knowledge.?.978-1-0716-3463-9978-1-0716-3461-5Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: 大溝 時間: 2025-3-25 10:05
conducting online classes. The third is the creation of conditions for the individualization of remote learning. The fourth is to ensure reliable and objective monitoring of remote classes. The components and implementation conditions of each component were examined in detail and their approval was作者: Baffle 時間: 2025-3-25 15:32
Angshuman Bagchi Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications...The primary market of this book are po作者: 表兩個 時間: 2025-3-25 18:48 作者: 諷刺 時間: 2025-3-25 21:23
Sagar Bag,Sudipta Bhowmikres correlating PM tenure and organizational commitment with success. The insights gained from this research have broad implications for global stakeholders in projects and programs, offering a more objective and big data-driven understanding of PM commitment.作者: 包租車船 時間: 2025-3-26 02:12
Aparna Chaturvedi,Anup Som be useful to state my position at the outset: if abusive and illegal practices are involved, these practices must be banned, but it makes no sense to condemn and punish traders who buy and sell more frequently than others, which is what HFT should be about.作者: compel 時間: 2025-3-26 04:34
Prajna Udupa,Debasish Kumar Ghosh be useful to state my position at the outset: if abusive and illegal practices are involved, these practices must be banned, but it makes no sense to condemn and punish traders who buy and sell more frequently than others, which is what HFT should be about.作者: 制定 時間: 2025-3-26 08:37
Usha Chouhan,Rakesh Kumar Sahu,Shaifali Bhatt,Sonu Kurmi,Jyoti Kant Choudhari the student’s interests in education, as well as their actual interests concerning relationships. In the first part of this chapter, I will look at the objection in more detail in order to pin down exactly what it is about and how it affects my concept of a good teacher-student relationship. In the作者: orthodox 時間: 2025-3-26 15:48 作者: RAGE 時間: 2025-3-26 18:06
Sudip Mandal,Pijush Duttaatistics is complicated, and so is science. There is no singular right way to do either, and universally acceptable compromises may not exist. Statistics offers a wide array of tools for assisting with scientific inference by calibrating uncertainty, but statistical inference is not a substitute for作者: 綠州 時間: 2025-3-27 00:42
Aanchal Gupta,Shubham Kumar,Ashwani Kumarl literatures as well as current research agendas of corporations. Engineers, implementers, and researchers have often encountered users‘ fears and aggressive actions against intelligent entities, especially in the wake of deaths of humans by robots and autonomous vehicles. The book is an invaluable作者: 清真寺 時間: 2025-3-27 04:43 作者: Initial 時間: 2025-3-27 06:50 作者: Anticoagulant 時間: 2025-3-27 09:45 作者: 生意行為 時間: 2025-3-27 13:46 作者: Ventilator 時間: 2025-3-27 20:18 作者: HAWK 時間: 2025-3-28 01:06
Identification of Culprit Genes for Different Diseases by Analyzing Microarray Data,es of R programming. The pipeline overviews the steps in microarray analysis, such as data pre-processing, normalization, and statistical analysis using visualization techniques such as heatmaps, box plots, and so on. To better understand the function of the altered genes, gene ontology and pathway analysis are performed.作者: 表皮 時間: 2025-3-28 04:36 作者: 材料等 時間: 2025-3-28 08:19 作者: Harass 時間: 2025-3-28 10:57 作者: evince 時間: 2025-3-28 16:35 作者: mosque 時間: 2025-3-28 21:59
Implementation of Exome Sequencing to Identify Rare Genetic Diseases,netic disorders. Recent advances in NGS tools and techniques have led to accurate and timely diagnosis of a large proportion of genetic diseases by finding sequence variations in clinical samples. One of the NGS techniques, exome sequencing (ES), is considered as a powerful and easily approachable m作者: nutrients 時間: 2025-3-28 23:37 作者: 吞吞吐吐 時間: 2025-3-29 04:08
New Insights into Clinical Management for Sickle Cell Disease: Uncovering the Significant Pathways emolysis, and vasculopathy has been established, hemoglobin polymerization, which results in erythrocyte stiffness and Vaso-occlusion, is important to the pathophysiology of this disease. Clinical management is elementary, and there is scant reliable data for many treatments. The onset of cerebrovas作者: 散開 時間: 2025-3-29 10:22 作者: optional 時間: 2025-3-29 15:12 作者: 向宇宙 時間: 2025-3-29 17:35
Identification of Culprit Genes for Different Diseases by Analyzing Microarray Data,Microarray analysis is one such powerful method that is widely used to identify genes that are expressed differently in two or more conditions (disease vs. normal). Because of its large library of statistical R packages and user-friendly interface, the R programming language provides a platform for 作者: Morsel 時間: 2025-3-29 21:51 作者: Implicit 時間: 2025-3-29 23:59
Prediction and Analysis of Transcription Factor Binding Sites: Practical Examples and Case Studies cting with the transcriptional machinery. TFBSs are typically located upstream of target genes, within a few thousand base pairs of the transcription start site. The binding of TFs to TFBSs influences the recruitment of the transcriptional machinery, thereby regulating gene transcription in a precis作者: 激怒某人 時間: 2025-3-30 07:51
Hubs and Bottlenecks in Protein-Protein Interaction Networks,ular processes, including signal transduction, metabolic regulation, and gene expression. In PPINs, centrality measures are widely used to identify the most critical nodes. The two most commonly used centrality measures in networks are degree and betweenness centralities. Degree centrality is the nu作者: 喊叫 時間: 2025-3-30 09:41 作者: 可以任性 時間: 2025-3-30 15:13
Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R,ology. These networks consist of transcription factors and their associations with genes they regulate. Despite the utility of deep learning methods in studying gene expression and regulation, their accessibility remains limited for?biologists, ?mainly?due to the prerequisites?of?programming skills 作者: Lumbar-Spine 時間: 2025-3-30 17:46
Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X Data,red by a phenotype during various environmental perturbations. Inferring the regulatory network from the high-throughput data needs an algorithmic approach involving statistical analysis. There are several interaction databases such as JASPAR and SwissRegulon that provide information for TFs-targets作者: 大范圍流行 時間: 2025-3-31 00:43
Reverse Engineering in Biotechnology: The Role of Genetic Engineering in Synthetic Biology,st. This chapter explores the uses, processes, and applications of genetic engineering in synthetic biology. The chapter provides a brief history and course of development of the field of synthetic biology and genetic engineering and their unbreakable association. Next, the chapter delves into mater作者: 做方舟 時間: 2025-3-31 03:22 作者: Corroborate 時間: 2025-3-31 05:54 作者: 值得 時間: 2025-3-31 12:40
Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X Data,ta for a desired set of target-TFs from the JASPAR database, and used that information to infer the network by using the . library. Further, we also mentioned the important parameters for analyzing the different properties of the network. The described procedure will be helpful in discerning the GRN based on the set of TF-gene pairs.