標(biāo)題: Titlebook: Epistasis; Methods and Protocol Ka-Chun Wong Book 2021 Springer Science+Business Media, LLC, part of Springer Nature 2021 Synthetic genetic [打印本頁] 作者: incompatible 時(shí)間: 2025-3-21 16:54
書目名稱Epistasis影響因子(影響力)
書目名稱Epistasis影響因子(影響力)學(xué)科排名
書目名稱Epistasis網(wǎng)絡(luò)公開度
書目名稱Epistasis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Epistasis被引頻次
書目名稱Epistasis被引頻次學(xué)科排名
書目名稱Epistasis年度引用
書目名稱Epistasis年度引用學(xué)科排名
書目名稱Epistasis讀者反饋
書目名稱Epistasis讀者反饋學(xué)科排名
作者: osteopath 時(shí)間: 2025-3-21 21:12 作者: 供過于求 時(shí)間: 2025-3-22 03:05
Epistasis978-1-0716-0947-7Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Iniquitous 時(shí)間: 2025-3-22 07:50 作者: 圓錐體 時(shí)間: 2025-3-22 11:55
https://doi.org/10.1007/978-1-4614-6163-0ed with a phenotype, the nominal statistical evidence will be inflated. Corrections are available but computationally expensive for genome-wide studies. We provide a first-order correction that can be applied in practice with essentially no additional computational cost.作者: LOPE 時(shí)間: 2025-3-22 14:02 作者: LOPE 時(shí)間: 2025-3-22 18:50 作者: 不可救藥 時(shí)間: 2025-3-22 22:34 作者: 名詞 時(shí)間: 2025-3-23 02:32 作者: crumble 時(shí)間: 2025-3-23 09:19 作者: 缺乏 時(shí)間: 2025-3-23 13:39
/, Noise in CMOS Integrated Circuitstroduce a powerful and efficient statistical method, called W-test, for genetic epistasis testing. A wtest R package is developed for the implementation of the W-test method, which provides various functions to measure the main effect, pairwise interaction, higher-order interaction, and cis-regulati作者: 公理 時(shí)間: 2025-3-23 16:51
Analog Design for CMOS VLSI Systemsrectly is critical to understanding the genotype–phenotype map. However, inference of genetic interactions is challenging compared to inference of individual allele effects due to low statistical power. Furthermore, genetic interactions can appear inconsistent across different quantitative traits, p作者: palliate 時(shí)間: 2025-3-23 18:46
Analog Device-Level Layout Automation-wide scale, screening for epistatic effects among all possible pairs of genetic markers faces two main complications. Firstly, the classical statistical methods for modeling epistasis are computationally very expensive, which makes them impractical on such large scale. Secondly, straightforward cor作者: pancreas 時(shí)間: 2025-3-23 22:31 作者: 饑荒 時(shí)間: 2025-3-24 05:09
Current Sources and Differential Pair,oping methods that enhance prediction accuracy is of major interest. Here, we provide three methods for this purpose: (1) Genomic Best Linear Unbiased Prediction (GBLUP) as a model just accounting for additive SNP effects; (2) Epistatic Random Regression BLUP (ERRBLUP) as a full epistatic model whic作者: Thymus 時(shí)間: 2025-3-24 08:03 作者: 血統(tǒng) 時(shí)間: 2025-3-24 14:15 作者: 憂傷 時(shí)間: 2025-3-24 16:57 作者: Psa617 時(shí)間: 2025-3-24 21:08
https://doi.org/10.1007/978-1-4614-6163-0ed with a phenotype, the nominal statistical evidence will be inflated. Corrections are available but computationally expensive for genome-wide studies. We provide a first-order correction that can be applied in practice with essentially no additional computational cost.作者: 修飾語 時(shí)間: 2025-3-25 00:36 作者: FLAT 時(shí)間: 2025-3-25 06:13
Analog Integrated-Circuit Blocks,ated in great detail, such as interactions between different genetic variants as well as their effects on one or multiple traits. Modeling epistasis and pleiotropy jointly necessitates appropriate statistical methods. A suitable tool for this is C-JAMP, which is a recently proposed method based on c作者: Gum-Disease 時(shí)間: 2025-3-25 08:27
Oversampled A-to-D and D-to-A Converters, existing methods of analyzing the changes in gene expression, statistical method is one of the common and accurate approaches. This paper presents a step-by-step protocol to use Biopeak, a statistical tool to identify and visualize any significant impulse-like change of the gene expression in genom作者: flourish 時(shí)間: 2025-3-25 14:05 作者: 考得 時(shí)間: 2025-3-25 18:13
G?ran Jerke,Jens Lienig,Jan B. Freuer such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive supports for developing, training, and evaluating the self-defined deep neural networks on sequence data. Moreover, pysster allows users to easily visualize the resulting perditions, which is helpful 作者: hematuria 時(shí)間: 2025-3-25 23:42 作者: synovial-joint 時(shí)間: 2025-3-26 02:26
https://doi.org/10.1007/978-1-4615-2341-3oped for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used in epistasis detection. It uses two class groups—high risk and low risk—in human genetic disease and complex genetic traits. However, it cannot handle uncertainties from genetic information. This cha作者: GNAT 時(shí)間: 2025-3-26 05:58 作者: Alpha-Cells 時(shí)間: 2025-3-26 11:34
Methods in Molecular Biologyhttp://image.papertrans.cn/e/image/313298.jpg作者: 間接 時(shí)間: 2025-3-26 15:34 作者: Chandelier 時(shí)間: 2025-3-26 19:32
: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration, can also be used without GPU hardware. The software implements logistic regression (as in PLINK epistasis testing), BOOST, log-linear regression, mutual information (MI), and information gain (IG) for pairwise testing as well as mutual information and information gain for third-order tests. Optiona作者: Canopy 時(shí)間: 2025-3-26 22:36
Epistasis-Based Feature Selection Algorithm,ecomes an alternative to assess the gene (variable) interdependence and select the most significative variables. This chapter describes the Epistasis-based Feature Selection Algorithm (EbFSA). Such implementation was recently proposed in a doctorate thesis from Computer Science. It has been applied 作者: Colonnade 時(shí)間: 2025-3-27 01:28 作者: 不滿分子 時(shí)間: 2025-3-27 08:09
The Combined Analysis of Pleiotropy and Epistasis (CAPE),rectly is critical to understanding the genotype–phenotype map. However, inference of genetic interactions is challenging compared to inference of individual allele effects due to low statistical power. Furthermore, genetic interactions can appear inconsistent across different quantitative traits, p作者: NOTCH 時(shí)間: 2025-3-27 12:55
Two-Stage Testing for Epistasis: Screening and Verification,-wide scale, screening for epistatic effects among all possible pairs of genetic markers faces two main complications. Firstly, the classical statistical methods for modeling epistasis are computationally very expensive, which makes them impractical on such large scale. Secondly, straightforward cor作者: 子女 時(shí)間: 2025-3-27 16:54
Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Associs) to prioritize candidate target genes for complex traits. TWASs have become increasingly popular. They have been used to analyze many complex traits with expression profiles from different tissues, successfully enhancing the discovery of genetic risk loci for complex traits. Though conceptually st作者: 合乎習(xí)俗 時(shí)間: 2025-3-27 19:11 作者: 意外 時(shí)間: 2025-3-28 00:49 作者: enterprise 時(shí)間: 2025-3-28 02:15
Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package,ase outcome. Statistically and biologically, significant evidence of epistatic loci for several traits and diseases is well known in human, animals, and plants. However, there is no straightforward way to compute a large number of pairwise epistasis among millions of variants along the whole genome,作者: ORE 時(shí)間: 2025-3-28 09:55
Brief Survey on Machine Learning in Epistasis, gene, located far away on the chromosome or on an entirely different chromosome, and this interaction can have a strong effect on the function of the two genes. These changes then can alter the consequences of the biological processes, influencing the organism’s phenotype. Machine learning is an ar作者: 費(fèi)解 時(shí)間: 2025-3-28 11:54
First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions,ed with a phenotype, the nominal statistical evidence will be inflated. Corrections are available but computationally expensive for genome-wide studies. We provide a first-order correction that can be applied in practice with essentially no additional computational cost.作者: neolith 時(shí)間: 2025-3-28 17:03 作者: Palpable 時(shí)間: 2025-3-28 19:13 作者: Lineage 時(shí)間: 2025-3-28 23:10
Identifying the Significant Change of Gene Expression in Genomic Series Data for Epistasis Peaks, existing methods of analyzing the changes in gene expression, statistical method is one of the common and accurate approaches. This paper presents a step-by-step protocol to use Biopeak, a statistical tool to identify and visualize any significant impulse-like change of the gene expression in genom作者: 遍及 時(shí)間: 2025-3-29 06:35
,Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using ‘Epistasis’ Package,ons called “high-order epistasis” aroused significant interests in recent studies. However, there are still debates for analysis of high-order epistasis due to the non-linear model complexity and statistical artifacts. A recent “epistasis” Python package was therefore developed to characterize high-作者: Herpetologist 時(shí)間: 2025-3-29 10:57
Deep Neural Networks for Epistatic Sequence Analysis, such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive supports for developing, training, and evaluating the self-defined deep neural networks on sequence data. Moreover, pysster allows users to easily visualize the resulting perditions, which is helpful 作者: CROW 時(shí)間: 2025-3-29 11:53
Protocol for Epistasis Detection with Machine Learning Using GenEpi Package,e association study (GWAS) is to discover the underlying reason for vulnerability to disease and utilize this knowledge for the development of prevention and treatment against these diseases. Given the methods available to address the scientific problems involved in the search for epistasis, there i作者: 廢除 時(shí)間: 2025-3-29 17:40
,A Belief Degree–Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detecoped for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used in epistasis detection. It uses two class groups—high risk and low risk—in human genetic disease and complex genetic traits. However, it cannot handle uncertainties from genetic information. This cha作者: Observe 時(shí)間: 2025-3-29 20:15 作者: 是突襲 時(shí)間: 2025-3-30 03:19
Yield Optimization/Design Centering,to solve multivariate calibration problems with multiple linear regression and demonstrated superiority over traditional techniques by selecting the smallest number of variables as well as obtaining the best model predictive ability.作者: 強(qiáng)所 時(shí)間: 2025-3-30 07:18
/, Noise in CMOS Integrated Circuitson of SNP-CpG pairs in genetic and epigenetic data. It allows flexible stagewise and exhaustive association testing as well as diagnostic checking on the probability distributions in a user-friendly interface. The wtest package is available in CRAN at ..作者: 鉆孔 時(shí)間: 2025-3-30 11:15
Analog Device-Level Layout Automationrections for multiple testing using the classical methods tend to be too coarse and inefficient at discovering the epistatic effects in such a large scale application. In this chapter, we describe both the underlying framework and practical examples of two-stage statistical testing methods that alleviate both of the aforementioned complications.作者: 委托 時(shí)間: 2025-3-30 16:26
https://doi.org/10.1007/978-1-4614-4217-2raightforward, some steps are required to perform the TWAS properly. Here we provide a step-by-step guide to integrate eQTL data with both GWAS individual-level data and GWAS summary statistics from complex traits.作者: 刺穿 時(shí)間: 2025-3-30 19:08 作者: 爭吵加 時(shí)間: 2025-3-30 20:50
Book 2021 to identify epistasis, genetic epistasis testing, genome-wide epistatic SNP networks, epistasis detection through machine learning, and complex interaction analysis using trigenic synthetic genetic array (τ-SGA). Written in the highly successful?.Methods in Molecular Biology.?series format, chapter作者: 缺乏 時(shí)間: 2025-3-31 01:37
: Tool for Epistasis Testing with Multiple Methods and GPU Acceleration,lly, . scores for testing for linkage disequilibrium (LD) can be calculated on-the-fly. . is publicly available at .. The software requires a Linux-based operating system and CUDA libraries. This chapter describes detailed installation and usage instructions as well as examples for basic preliminary quality control and analysis of results.作者: 雇傭兵 時(shí)間: 2025-3-31 07:32
Epistasis-Based Feature Selection Algorithm,to solve multivariate calibration problems with multiple linear regression and demonstrated superiority over traditional techniques by selecting the smallest number of variables as well as obtaining the best model predictive ability.作者: ELUDE 時(shí)間: 2025-3-31 12:44 作者: abysmal 時(shí)間: 2025-3-31 17:14
Two-Stage Testing for Epistasis: Screening and Verification,rections for multiple testing using the classical methods tend to be too coarse and inefficient at discovering the epistatic effects in such a large scale application. In this chapter, we describe both the underlying framework and practical examples of two-stage statistical testing methods that alleviate both of the aforementioned complications.作者: obviate 時(shí)間: 2025-3-31 19:54
Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Associraightforward, some steps are required to perform the TWAS properly. Here we provide a step-by-step guide to integrate eQTL data with both GWAS individual-level data and GWAS summary statistics from complex traits.作者: 個人長篇演說 時(shí)間: 2025-4-1 00:45
Analog Integrated-Circuit Blocks,standing of biological processes. We further discuss important aspects of this area of research, such as polygenic risk scores and ancestry-specific modeling, which we propose to include in future extensions of the software.作者: Commonplace 時(shí)間: 2025-4-1 03:37 作者: 營養(yǎng) 時(shí)間: 2025-4-1 08:38 作者: Adrenal-Glands 時(shí)間: 2025-4-1 10:23 作者: Cholagogue 時(shí)間: 2025-4-1 15:14 作者: 陳腐思想 時(shí)間: 2025-4-1 19:26 作者: LIMN 時(shí)間: 2025-4-2 02:41
Book 2021iding known pitfalls...?..Authoritative and cutting-edge, .Epistasis: Methods and Protocols .aims to ensure successful results in the further study of this vital field...?."Simulating Evolution in Asexual Populations with Epistasis” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
