Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing, longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
Feature selection (FS) is an important component of many pattern recognition tasks. In these tasks, one is often confronted with very high-dimensional data. FS algorithms are designed …
S Liu, M Lu, H Li, Y Zuo - Frontiers in Genetics, 2019 - frontiersin.org
Cell reprogramming has played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development, and new species breeding …
L Shen, PM Thompson - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Brain imaging genomics is an emerging data science field, where integrated analysis of brain imaging and genomics data, often combined with other biomarker, clinical, and …
H Wang, F Nie, H Huang - International conference on …, 2013 - proceedings.mlr.press
Combining information from various data sources has become an important research topic in machine learning with many scientific applications. Most previous studies employ kernels …
Abstract The Genetics Core of the Alzheimer's Disease Neuroimaging Initiative (ADNI), formally established in 2009, aims to provide resources and facilitate research related to …
D Wang, F Nie, H Huang - IEEE transactions on Knowledge …, 2015 - ieeexplore.ieee.org
Feature selection has been an important research topic in data mining, because the real data sets often have high-dimensional features, such as the bioinformatics and text mining …
Multimodal data fusion has shown great advantages in uncovering information that could be overlooked by using single modality. In this paper, we consider the integration of high …
Connectome genetics attempts to discover how genetic factors affect brain connectivity. Here we review a variety of genetic analysis methods—such as genome-wide association …