Gene Expression Genomics

نویسندگان

چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Gene Expression: From Microarrays to Functional Genomics

42/2008 Susanna Nurmi LFA-1 Integrin β2 Chain Phosphorylation Regulates Protein Interactions and Mediates Signals in T Cells 43/2008 Anastasia Ludwig Mechanisms of KCC2 Upregulation During Development 44/2008 Camelia Constantin Cereulide Producing B. Cereus and Amylosin Producing B. Subtilis and B. Mojavensis: Characterization of Strains and Toxigenicities 45/2008 Eva Ruusuvuori Ion-Regulatory ...

متن کامل

Gene Expression Data Mining for Functional Genomics

Methods for supervised and unsupervised clustering and machine learning were studied in order to automatically model relationships between gene expression data and gene functions of the microorganism Escherichia coli. From a pre-selected subset of 265 genes (belonging to 3 functional groups) the function has been predicted with an accuracy higher than 50 % by various data mining methods describ...

متن کامل

Sparse Statistical Modelling in Gene Expression Genomics

The concept of sparsity is more and more central to practical data analysis and inference with increasingly high-dimensional data. Gene expression genomics is a key example context. As part of a series of projects that has developed Bayesian methodology for large-scale regression, ANOVA and latent factor models, we have extended traditional Bayesian “variable selection” priors and modelling ide...

متن کامل

Genetics and genomics: gene expression microarrays.

Since its development almost 2 decades ago, gene expression microarray technology has generated excitement and raised expectations for dramatic discoveries of underlying disease mechanisms. The general concept of a gene expression microarray is relatively straightforward. Messenger RNA is extracted from a biospecimen. Examples of biospecimens include cells grown in culture, tissue from animal m...

متن کامل

High-Dimensional Sparse Factor Modelling: Applications in Gene Expression Genomics

In studies of molecular profiling and biological pathway analysis using DNA microarray gene expression data we are utilising a broad class of sparse latent factor and regression models for large-scale multivariate analysis and regression prediction. We present examples of these applications with discussion of key aspects of the modelling and computational methodology. Our case studies are drawn...

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

ژورنال

عنوان ژورنال: Biophysical Journal

سال: 2013

ISSN: 0006-3495

DOI: 10.1016/j.bpj.2012.11.2954