% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{data_corr}
\alias{data_corr}
\title{Biomarker Correlation Dataset for Hamiltonian Construction}
\format{
A data frame with 12 rows and 30 variables:
\describe{
\item{ACMSD}{Amino acid metabolism biomarker.}
\item{ADA}{Nucleotide metabolism enzyme.}
\item{ADK}{Adenosine kinase (nucleotide metabolism).}
\item{CCL13}{Chemokine involved in immune signaling.}
\item{CCL4}{Inflammatory chemokine.}
\item{CCL5}{Immune signaling chemokine.}
\item{CD14}{Innate immune receptor.}
\item{CD163}{Macrophage activation marker.}
\item{CPS1}{Urea cycle enzyme.}
\item{CTSD}{Lysosomal protease.}
\item{CTSL}{Cathepsin L (antigen processing).}
\item{FAH}{Fumarylacetoacetate hydrolase.}
\item{FASN}{Fatty acid synthase.}
\item{HADH}{Beta-oxidation enzyme.}
\item{HK2}{Hexokinase 2 (glycolysis).}
\item{IDO1}{Tryptophan metabolism enzyme.}
\item{IL6}{Inflammatory cytokine.}
\item{IMPDH2}{Purine biosynthesis enzyme.}
\item{LAT}{T-cell activation linker protein.}
\item{LDHB}{Lactate dehydrogenase B.}
\item{LTC4S}{Leukotriene synthesis enzyme.}
\item{MTF1}{Metal regulatory transcription factor.}
\item{NT5E}{Ecto-5'-nucleotidase.}
\item{PKM}{Pyruvate kinase (glycolysis).}
\item{PTGES}{Prostaglandin synthesis enzyme.}
\item{PTGS2}{Cyclooxygenase-2 (inflammation).}
\item{RPTOR}{mTOR pathway regulator.}
\item{TDO2}{Tryptophan metabolism enzyme.}
\item{ZNF708}{Zinc finger transcription factor.}
\item{ZNF93}{Zinc finger regulatory protein.}
}
}
\usage{
data(data_corr)
}
\description{
A numeric data frame containing a curated panel of biomarkers used to
estimate correlation-driven coefficients for a variational Hamiltonian
in a 3-qubit quantum model.
}
\details{
The Hamiltonian is defined as:

\deqn{
\hat{H} = \sum_{k=1}^K c_k P_k
}

where:
\itemize{
\item \eqn{P_k} are Pauli strings from the 3-qubit Pauli group
\item \eqn{c_k} are coefficients estimated via Pearson correlation
between selected biomarkers
}

The biomarkers in \code{data_corr} are grouped into biological axes:

\itemize{
\item \strong{Amino Acid Metabolism:} IDO1, TDO2, ACMSD, CPS1, FAH
\item \strong{Immune Signaling:} IL6, CCL4, CCL5, CCL13, NT5E
\item \strong{Antigen Processing:} CD14, CD163, LAT, CTSL, CTSD
\item \strong{Fatty Acid / Lipid:} HADH, FASN, LTC4S, PTGS2, PTGES
\item \strong{Aerobic / Nucleotide:} LDHB, PKM, IMPDH2, ADA, ADK, HK2
\item \strong{Regulatory / Epigenetic:} ZNF93, MTF1, RPTOR, ZNF708, CAD
}

These features define a high-dimensional correlation structure used to
construct patient-specific or cohort-level Hamiltonians.
}
\examples{
data(data_corr)
dim(data_corr)

}
\references{
Brown, A. J., et al. (2024). Metabolic reprogramming of human macrophages during Mycobacterium tuberculosis infection under HIV exposure. Gene Expression Omnibus (GEO), accession GSE314344.
Baluku, J. B., et al. (2023). DNA methylation profiling of people living with HIV stratified by tuberculosis status. Gene Expression Omnibus (GEO), accession GSE304107.
}
\keyword{datasets}
