標(biāo)題: Titlebook: Statistical Genomics; Brooke Fridley,Xuefeng Wang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp [打印本頁(yè)] 作者: 會(huì)議記錄 時(shí)間: 2025-3-21 18:11
書目名稱Statistical Genomics影響因子(影響力)
書目名稱Statistical Genomics影響因子(影響力)學(xué)科排名
書目名稱Statistical Genomics網(wǎng)絡(luò)公開度
書目名稱Statistical Genomics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Statistical Genomics被引頻次
書目名稱Statistical Genomics被引頻次學(xué)科排名
書目名稱Statistical Genomics年度引用
書目名稱Statistical Genomics年度引用學(xué)科排名
書目名稱Statistical Genomics讀者反饋
書目名稱Statistical Genomics讀者反饋學(xué)科排名
作者: 單挑 時(shí)間: 2025-3-21 20:46 作者: 厭食癥 時(shí)間: 2025-3-22 03:01 作者: 拍下盜公款 時(shí)間: 2025-3-22 06:42 作者: Jingoism 時(shí)間: 2025-3-22 10:27
Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper,tion of machine learning tools for the large-scale delineation of cellular ecosystems and their constituent cell states from bulk, single-cell, and spatially resolved gene expression data. In this chapter, we provide a primer on EcoTyper and demonstrate its use for the discovery and recovery of cell作者: Arbitrary 時(shí)間: 2025-3-22 16:17 作者: 連詞 時(shí)間: 2025-3-22 17:58
Analysis of Single-Cell RNA-seq Data,ools and workflows for analyzing the data have been developed. In this chapter, we describe a standard workflow and elaborate on relevant data analysis tools for analyzing single-cell RNA sequencing data. We provide recommendations for the appropriate use of commonly used methods, with code examples作者: 不適 時(shí)間: 2025-3-22 22:46
A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Tranthe spatial distribution of cell types, and their interactions. Furthermore, ST promises to enable the discovery of more accurate drug targets while also providing a better understanding of the etiology and evolution of complex diseases. The analysis of ST brings similar challenges as seen in other 作者: refraction 時(shí)間: 2025-3-23 03:54 作者: 中國(guó)紀(jì)念碑 時(shí)間: 2025-3-23 07:15
Statistical Analysis in ChIP-seq-Related Applications, protocol is quite flexible and mature to measure different types of protein binding as long as sequencing parameters are properly tailored to accommodate protein features. Two distinct types of protein binding are point-source-like binding by transcription factors and diffused-distribution binding 作者: WITH 時(shí)間: 2025-3-23 10:18 作者: MOCK 時(shí)間: 2025-3-23 17:30
Statistical and Computational Methods for Microbial Strain Analysis,cessfully retrieved with culture-independent techniques using metagenomic sequencing. Such a strain variability has been increasingly shown to display additional phenotypic heterogeneities that affect host health, such as virulence, transmissibility, and antibiotics resistance. New statistical and c作者: monologue 時(shí)間: 2025-3-23 18:30
Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis,ses in mass spectrometry metabolomics studies, with illustration by example datasets. The missing peak recovery includes simple imputation by zero or limit of detection, regression-based or distribution-based imputation, and prediction by random forest. The batch effect can be removed by data-driven作者: wreathe 時(shí)間: 2025-3-24 02:08 作者: Rejuvenate 時(shí)間: 2025-3-24 04:17
Pharmacogenomic and Statistical Analysis, many ways to other types of genetic studies but has distinct methodological and statistical considerations. Genetic variants involved in the processing of exogenous compounds exhibit great diversity and complexity, and the phenotypes studied in pharmacogenomics are also more complex than typical ge作者: 反復(fù)無常 時(shí)間: 2025-3-24 08:39
Statistical Methods for Disease Risk Prediction with Genotype Data, SNPs is to construct prediction models for assessing disease risk. Here, we introduce prediction methods for human traits using SNPs data, including the polygenic risk score (PRS), linear mixed models (LMMs), penalized regressions, and methods for controlling population stratification.作者: 變化 時(shí)間: 2025-3-24 14:21
Statistical Methods Inspired by Challenges in Pediatric Cancer Multi-omics,s for the study of extremely rare diseases; this unique dynamic creates a research environment in which problems with high-dimension and low sample size are commonplace. Here, we present a few statistical methods that we have developed for our research setting and believe will prove valuable in othe作者: arbovirus 時(shí)間: 2025-3-24 17:03
1064-3745 ation advice from the experts.This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. Written in the highly suc作者: catagen 時(shí)間: 2025-3-24 22:52
Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper,atially resolved gene expression data. In this chapter, we provide a primer on EcoTyper and demonstrate its use for the discovery and recovery of cell states and ecosystems from healthy and diseased tissue specimens.作者: 充滿裝飾 時(shí)間: 2025-3-24 23:24 作者: 不要不誠(chéng)實(shí) 時(shí)間: 2025-3-25 05:30 作者: 極肥胖 時(shí)間: 2025-3-25 11:17
Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis, methods, internal standard-based, and quality control sample-based normalization. We also summarize different types of statistical analysis for metabolomics and clinical outcomes, such as inference on metabolic biomarkers, clustering of metabolomic profiles, metabolite module building, and integrative analysis with transcriptome.作者: Friction 時(shí)間: 2025-3-25 14:52
Pharmacogenomic and Statistical Analysis,netic studies. In this chapter, we review basic concepts in pharmacogenomic study designs, data generation techniques, statistical analysis approaches, and commonly used methods and briefly discuss the ultimate translation of findings to clinical care.作者: Estrogen 時(shí)間: 2025-3-25 16:58 作者: 放氣 時(shí)間: 2025-3-25 20:58
A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Tran review some of the existing algorithms to perform these analytical tasks and highlight some of the unmet analytical challenges in the analysis of ST data. Given the diversity of available ST technologies, we focus this chapter on the analysis of barcode-based RNA quantitation techniques.作者: orthodox 時(shí)間: 2025-3-26 01:34 作者: 無孔 時(shí)間: 2025-3-26 05:21 作者: Meager 時(shí)間: 2025-3-26 09:13
https://doi.org/10.1007/978-1-0716-2986-4metagenomics; Microbiome; Spatial Transcriptomics; DNA-seq; Pharmacogenomics作者: 偉大 時(shí)間: 2025-3-26 12:58 作者: 口訣 時(shí)間: 2025-3-26 17:06 作者: Incorporate 時(shí)間: 2025-3-26 21:39
978-1-0716-2988-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines作者: Exuberance 時(shí)間: 2025-3-27 04:01
Statistical Genomics978-1-0716-2986-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: 角斗士 時(shí)間: 2025-3-27 06:29 作者: 無效 時(shí)間: 2025-3-27 12:02 作者: eustachian-tube 時(shí)間: 2025-3-27 16:16 作者: 排斥 時(shí)間: 2025-3-27 19:17 作者: Aphorism 時(shí)間: 2025-3-28 01:43 作者: magnanimity 時(shí)間: 2025-3-28 03:34
Bioinformatic and Statistical Analysis of Microbiome Data,t-microbiome association. Understanding the advantages and limitations of the analysis methods will help readers use the methods correctly in microbiome data analysis and may give a new opportunity to develop new analytic techniques for microbiome research.作者: Mystic 時(shí)間: 2025-3-28 09:33
Statistical and Computational Methods for Microbial Strain Analysis,enome sequences are needed, how SNVs are called, what methods of deconvolution are used and whether the methods can be applied to multiple samples. We conclude our review with areas that require further research.作者: Notify 時(shí)間: 2025-3-28 12:58
Statistical and Computational Methods for Proteogenomic Data Analysis,analysis, we will first introduce a data preprocessing and quality control pipeline that includes normalization, outlier detection and removal, batch effect identification and handling, and missing data imputation. Then, we will describe several statistical methods that leverage well-processed prote作者: Magnitude 時(shí)間: 2025-3-28 14:52 作者: 盲信者 時(shí)間: 2025-3-28 22:30 作者: 遠(yuǎn)足 時(shí)間: 2025-3-29 01:11 作者: Celiac-Plexus 時(shí)間: 2025-3-29 03:18
1064-3745 , .Statistical Genomics. hopes that by covering these diverse and timely topics researchers are provided insights into future directions and priorities of pan-omics and the precision medicine era..978-1-0716-2988-8978-1-0716-2986-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: meretricious 時(shí)間: 2025-3-29 09:47
Sili Fan,Christopher M. Wilson,Brooke L. Fridley,Qian Li worked at CERN and has for many years been driving the application ofaccelerators in medicine. This is a must-read introduction to this frontier of modern technology, written beautifully by a world expert.”.Frank Close, Professor of Physics at Oxford University .author of ".The Infinity Puzzle.".“T作者: ANNUL 時(shí)間: 2025-3-29 13:54 作者: BET 時(shí)間: 2025-3-29 16:29 作者: V切開 時(shí)間: 2025-3-29 21:40
Xiaoxuan Xia,Yexian Zhang,Yingying Wei,Maggie Haitian Wang must for industrial users of light scattering techniquescharacterizing a variety of particulate systems and for undergraduateor graduate students who want to learn how to use light scattering tostudy particular materials, in chemical engineering, materialsciences, physical chemistry and other relat作者: Libido 時(shí)間: 2025-3-30 01:24
must for industrial users of light scattering techniquescharacterizing a variety of particulate systems and for undergraduateor graduate students who want to learn how to use light scattering tostudy particular materials, in chemical engineering, materialsciences, physical chemistry and other relat作者: Vasodilation 時(shí)間: 2025-3-30 05:41
Sili Fan,Christopher M. Wilson,Brooke L. Fridley,Qian Li- as most popular science books on particle physics do - this book is different in that, firstly, the main focus is on machine inventors and builders and, secondly, particle accelerators are not only described as discovery tools but also for their contributions to tumour diagnosis and therapy. The c作者: 寬大 時(shí)間: 2025-3-30 09:59 作者: 青春期 時(shí)間: 2025-3-30 14:04 作者: 令人不快 時(shí)間: 2025-3-30 18:03
Xiaoxuan Xia,Yexian Zhang,Yingying Wei,Maggie Haitian Wangn important tool in the frontier ofsciences, such as in biotechnology and nanotechnology. This booksystematically describes one major branch of modern particlecharacterization technology - the light scattering methods.This is the first monograph in particle science and technologycovering the princip作者: Hyperlipidemia 時(shí)間: 2025-3-30 21:42
Xueyuan Cao,Abdelrahman H. Elsayed,Stanley B. Poundsials and an important tool in the frontier ofsciences, such as in biotechnology and nanotechnology. This booksystematically describes one major branch of modern particlecharacterization technology - the light scattering methods.This is the first monograph in particle science and technologycovering t作者: 生命層 時(shí)間: 2025-3-31 04:36
