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Jose D. Herazo‐Maya

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME3
ORCID 0000-0002-8129-6346

identity via Semantic Scholar / OpenAlex

most citedA Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2016★ 1 cited

Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension

Molei Liu, Jiehuan Sun, Jose D. Herazo-Maya +2

Joint models for longitudinal biomarkers and time-to-event data are widely used in longitudinal studies. Many joint modeling approaches have been proposed to deal with different ty…

stat.ME2016

Distance-Correlation based Gene Set Analysis in Longitudinal Studies

Jiehuan Sun, Jose D. Herazo-Maya, Xiu Huang +2

Longitudinal gene expression profiles of patients are collected in some clinical studies to monitor disease progression and understand disease etiology. The identification of gene…

stat.ME2016★ 1 cited

A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data

Jiehuan Sun, Jose D. Herazo-Maya, Naftali Kaminski +2

Subgroup identification (clustering) is an important problem in biomedical research. Gene expression profiles are commonly utilized to define subgroups. Longitudinal gene expressio…

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