Big Data in Omics and Imaging

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 5 (0)

Integrated Analysis and Causal Inference

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the new identified genetic variants is small and a large fraction of genetic variants is still hidden. Understanding the etiology and causal chain of mechanism underlying complex diseases remains elusive. It is time to bring big data, machine learning and causal revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism of complex diseases.

FEATURES

Provides a natural extension and companion volume to Big Data in Omic and Imaging: Association Analysis, but can be read independently.

Introduce causal inference theory to genomic, epigenomic and imaging data analysis

Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies.

Bridge the gap between the traditional association analysis and modern causation analysis

Use combinatorial optimization methods and various causal models as a general framework for inferring multilevel omic and image causal networks

Present statistical methods and computational algorithms for searching causal paths from genetic variant to disease

Develop causal machine learning methods integrating causal inference and machine learning

Develop statistics for testing significant difference in directed edge, path, and graphs, and for assessing causal relationships between two networks

The book is designed for graduate students and researchers in genomics, epigenomics, medical image, bioinformatics, and data science. Topics covered are: mathematical formulation of causal inference, information geometry for causal inference, topology group and Haar measure, additive noise models, distance correlation, multivariate causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and differential equations for wearable computing, genetic analysis of function-valued traits, RNA-seq data analysis, causal networks for genetic methylation analysis, gene expression and methylation deconvolution, cell -specific causal networks, deep learning for image segmentation and image analysis, imaging and genomic data analysis, integrated multilevel causal genomic, epigenomic and imaging data analysis.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2018

نویسنده

Momiao Xiong

ناشر

CRC Press

شابک

9781351172639

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Big Data in Omics and Imaging

Big Data in Omics and Imaging

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2018

نویسنده

ناشر

شابک

کتاب های مرتبط

Computational Genetics and Genomics

Data Mining in Proteomics

RNA Sequence, Structure, and Function

Bayesian networks in R : with applications in systems biology

Bioinformatics with R (Chapman &amp; Hall/Crc Computer Science &amp; Data Analysis)

Bioinformatics with R (Chapman &amp; Hall/Crc Computer Science &amp; Data Analysis)

Gene Expression Studies Using Affymetrix Microarrays

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Advances in Computational Biology

Evolutionary Computation in Bioinformatics

Bioinformatics

Computational Genetics and Genomics

Bioinformatics

Proceedings of the 5th Asia-Pacific Bioinformatics Conference

Introduction to bioinformatics

Introduction to Evolutionary Genomics

Bio-inspired computing - theories and applications 9th international conference ; proceedings

Methoden der Bioinformatik : eine Einführung zur Anwendung in Biologie und Medizin

Bioinformatics Computing

Structural Bioinformatics

Angewandte Bioinformatik

دیدگاه کاربران

Bioinformatics with R (Chapman & Hall/Crc Computer Science & Data Analysis)

Bioinformatics with R (Chapman & Hall/Crc Computer Science & Data Analysis)