Peer-reviewedCC BYInternational journal of molecular sciences
Integrative Transcriptomics and Machine Learning Nominate IL15- and PPP2R1A-Centered Programs in PTSD Using Pathway-Informed Autonomic–Cardiac Gene Prioritization
- 1School of Integrative Medicine, , Shanghai 201203, China; (Y.G.); (D.S.); (L.L.)
Related
- Geometric-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics
- spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization
- Integrative Machine Learning and Immunoinformatics-Guided Design and In Silico Validation of a Multiepitope DNA Vaccine Against Avian Metapneumovirus.
- Integrative network toxicology and machine learning reveal the potential role of 5-hydroxymethylfurfural in exacerbating pulmonary fibrosis
- Machine-learning-assisted integration of single-cell and bulk transcriptomics characterizes glioblastoma ecosystem states and immune-associated programs
BibTeX
@article{guo2026integrative,
title = {{Integrative Transcriptomics and Machine Learning Nominate IL15- and PPP2R1A-Centered Programs in PTSD Using Pathway-Informed Autonomic–Cardiac Gene Prioritization}},
author = {Yihan Guo and Dongdong Shi and Lanying Liu and Zhen Wang},
journal = {International journal of molecular sciences},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13665173},
note = {CC BY},
}
RIS
TY - JOUR
TI - Integrative Transcriptomics and Machine Learning Nominate IL15- and PPP2R1A-Centered Programs in PTSD Using Pathway-Informed Autonomic–Cardiac Gene Prioritization
AU - Yihan Guo
AU - Dongdong Shi
AU - Lanying Liu
AU - Zhen Wang
PY - 2026
DA - 2026/09/29
JO - International journal of molecular sciences
UR - https://europepmc.org/article/PMC/PMC13665173
SN - 1422-0067
ER -