Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
High-dimensional feature selection for genomic datasets
M Afshar, H Usefi - Knowledge-Based Systems, 2020 - Elsevier
A central problem in machine learning and pattern recognition is the process of recognizing
the most important features. In this paper, we provide a new feature selection method …
the most important features. In this paper, we provide a new feature selection method …
Parkinson's Disease Risk Variant rs9638616 is Non-Specifically Associated with Altered Brain Structure and Function
Background: A genome-wide association study (GWAS) variant associated with Parkinson's
disease (PD) risk in Asians, rs9638616, was recently reported, and maps to …
disease (PD) risk in Asians, rs9638616, was recently reported, and maps to …
A survey on analysis of genetic diseases using machine learning techniques
B Dhanalaxmi, K Anirudh, G Nikhitha… - 2021 Fifth International …, 2021 - ieeexplore.ieee.org
The approach of new technological developments in the genetic disease repository has
facilitated genetic disease treatment. In the post-genomic time gene detection, which causes …
facilitated genetic disease treatment. In the post-genomic time gene detection, which causes …
Imaging Genetic Prediction of Cognition and Symptoms in Both Small and Big Cohorts
P Nadigapu Suresh - 2024 - scholarworks.gsu.edu
With recent technological advances in acquiring multimodal brain imaging data and high-
throughput genomics data, brain imaging genomics is emerging as a rapidly growing …
throughput genomics data, brain imaging genomics is emerging as a rapidly growing …
Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory
PN Suresh, B Kazemivash, DM Jensen… - … on Biomedical and … - openreview.net
Understanding working memory's genetic and neural bases is crucial for advancing
cognitive neuroscience and identifying biomarkers for cognitive impairments, particularly in …
cognitive neuroscience and identifying biomarkers for cognitive impairments, particularly in …
[PDF][PDF] MACHINE LEARNING TECHNIQUES TO IDENTIFY HEREDITARY ILLNESS
MG Sujatha, P Pallavi, K Swetha, MS Supraja… - junikhyatjournal.org
New technologies have made it much simpler to treat hereditary illnesses. One of the most
difficult challenges of the post-genomic era is sifting through an enormous quantity of …
difficult challenges of the post-genomic era is sifting through an enormous quantity of …