Multi‐scale network regression for brain‐phenotype associations
نویسندگان
چکیده
منابع مشابه
Multiscale Adaptive Regression Models for Neuroimaging Data.
Neuroimaging studies aim to analyze imaging data with complex spatial patterns in a large number of locations (called voxels) on a two-dimensional (2D) surface or in a 3D volume. Conventional analyses of imaging data include two sequential steps: spatially smoothing imaging data and then independently fitting a statistical model at each voxel. However, conventional analyses suffer from the same...
متن کاملNetwork-guided regression for detecting associations between DNA methylation and gene expression
MOTIVATION High-throughput profiling in biological research has resulted in the availability of a wealth of data cataloguing the genetic, epigenetic and transcriptional states of cells. These data could yield discoveries that may lead to breakthroughs in the diagnosis and treatment of human disease, but require statistical methods designed to find the most relevant patterns from millions of pot...
متن کاملA Penalized Regression Model for the Joint Estimation of eQTL Associations and Gene Network Structure
Background: A critical task in the study of biological systems is understanding how gene expression is regulated within the cell. This problem is typically divided into multiple separate tasks, including performing eQTL mapping to identify SNP-gene relationships and estimating gene network structure to identify gene-gene relationships. Aim: In this work, we pursue a holistic approach to discove...
متن کاملA Network for Multiscale Image Segmentation
Deterling edges of ol>jecfs in their images is a ba.roblc»> in computa.lional vision. The scale-space technique inii'Oduced by Witkin [I 1} provides means of using local and global r·m.<cmi»g i» lora.ling edges. This approach has a major drawback: il is diflicu/1 to obtain accumtely the /ocati011S of /he 'semantically meaningful' edges. We have refined the deflnilion of scale-space,'""' i...
متن کاملANIMA: Association network integration for multiscale analysis
Contextual functional interpretation of -omics data derived from clinical samples is a classical and difficult problem in computational systems biology. The measurement of thousands of data points on single samples has become routine but relating ‘big data’ datasets to the complexities of human pathobiology is an area of ongoing research. Complicating this is the fact that many publically avail...
متن کاملذخیره 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: Human Brain Mapping
سال: 2020
ISSN: 1065-9471,1097-0193
DOI: 10.1002/hbm.24982