978 - 1 - 107 - 06911 - 4 - Integrating Omics Data

نویسندگان

  • George Tseng
  • Debashis Ghosh
  • Xianghong Jasmine Zhou
چکیده

accelerated failure time (AFT) model, 227 accuracy quality control (AQCg; AQCp), MetaQC package, 41 aCGH (array comparative genomic hybridization), 333, 403 AD (Alzheimer’s disease), 102–103 adaptively weighted Fisher’s (AW-Fisher’s) method, 43 adjusted Rand index, 242 Affymetrix arrays, 400–401 AFT (accelerated failure time) model, 227 allele frequencies, comparison of, 14f allele-specific binding (ASB), in ChIP-seq, 109, 123–128 Alzheimer’s disease (AD), 102–103 Amandine, E., 202 AMD GWAS, 19–20 AQC (accuracy quality control), MetaQC package, 41 ARACNe algorithm, 297 Argonaute protein, 285–286, 292 array comparative genomic hybridization (aCGH), 333, 403 ArrayExpress, 397 ASB (allele-specific binding), in ChIP-seq, 109, 123–128 autologistic regression, 206, 208–209 AW-Fisher’s (adaptively weighted Fisher’s) method, 43

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An IT Architecture for Systems Medicine

Systems medicine aims to support treatment of complex diseases like cancer by integrating all available data for the disease. To provide such a decision support in clinical practice, a suitable IT architecture is necessary. We suggest a generic architecture comprised of the following three layers: data representation, decision support, and user interface. For the systems medicine research proje...

متن کامل

An Integrative Bioinformatics Approach for Knowledge Discovery

The vast amount of data being generated by large scale omics projects and the computational approaches developed to deal with this data have the potential to accelerate the advancement of our understanding of the molecular basis of genetic diseases. This better understanding may have profound clinical implications and transform the medical practice; for instance, therapeutic management could be...

متن کامل

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

Whole-genome multiomic profiles hold valuable information for the analysis and prediction of disease risk and progression. However, integrating high-dimensional multilayer omic data into risk-assessment models is statistically and computationally challenging. We describe a statistical framework, the Bayesian generalized additive model ((BGAM), and present software for integrating multilayer hig...

متن کامل

Multiple Co-inertia Analysis of Multiple OMICS Data using omicade4

Multivariate approaches have been applied successfully in the analysis of high throughput ”omics”data. Principal component analysis (PCA) has been shown to be useful in exploratory analysis of linear trends in biological data [1]. Culhane and colleagues employed a two table coupling method (co-inertia analysis, CIA) to examine covariant gene expression patterns between microarray datasets from ...

متن کامل

Network modeling in systems biology

...........................................................................................................iv CHAPTER 1. INTRODUCTION ................................................................................... 1 1.1 Background ......................................................................................................... 1 1.2 Network Diagram...................................

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015