An efficient, not-only-linear correlation coefficient based on clustering

M Pividori, MD Ritchie, DH Milone, CS Greene - Cell Systems, 2024 - cell.com
Identifying meaningful patterns in data is crucial for understanding complex biological
processes, particularly in transcriptomics, where genes with correlated expression often …

Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms

M Pividori, S Lu, B Li, C Su, ME Johnson… - Nature …, 2023 - nature.com
Genes act in concert with each other in specific contexts to perform their functions.
Determining how these genes influence complex traits requires a mechanistic …

An efficient not-only-linear correlation coefficient based on machine learning

M Pividori, MD Ritchie, DH Milone, CS Greene - BioRxiv, 2022 - biorxiv.org
Correlation coefficients are widely used to identify patterns in data that may be of particular
interest. In transcriptomics, genes with correlated expression often share functions or are …

Interpretable Machine Learning and Deep Learning Frameworks for Predictive Analytics and Biomarker Discovery from Multimodal Imaging Genetics Data

S Ghosal - 2023 - jscholarship.library.jhu.edu
In healthcare, neuroimaging studies and genetics research are generating torrents of data to
understand the hereditary components of neurological and psychiatric disorders …

Systematic Mining of gut microbiota biomarkers for IBD

Y Zhang, W Lai, M Wang, S Lai, Q Liu, Q Luo, L Dou… - bioRxiv, 2024 - biorxiv.org
Background Inflammatory bowel disease (IBD), encompassing ulcerative colitis (UC) and
Crohn's disease (CD), represents a chronic inflammatory condition with an incompletely …

[PDF][PDF] An efficient not-only-linear correlation coefficient based on clustering

MD Ritchie, DH Milone, CS Greene - sinc.unl.edu.ar
Correlation coefficients are widely used to identify patterns in data that may be of particular
interest. In transcriptomics, genes with correlated expression often share functions or are …