Quantitative gene-level inference of tumor transcription from plasma epigenomes

Quantitative lipidomics reveals Lipid perturbation of plasma apoptotic extracellular vesicles during physiological aging
Maojiao Li, Haisen Huang, Qi Tang
Frontiers in cell and developmental biology16 Oct 2026Peer-reviewedCC BYFull textGeneral biochemistryEurope PMC
Inference on paths of yeast transcription pre-initiation complex assembly by model-based analysis of altered occupancy profiles
E. A. Novikova, A. Goldar, P. Nicolas +1
bioRxiv30 Sep 2026PreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
Feedback control via H3K9 methylation and siRNA biogenesis autonomously maintains RNAi heterochromatin through continuous low-level transcription
Sumanth Kumar Maheshwaram, Amith Zafal Abdulla, Serena Chiu +3
bioRxiv28 Oct 2026PreprintCC BY-NC-NDFull textMolecular biology & gene regulationbioRxivPMC
Integrating genome-wide association study and haplotype-resolved epigenomes reveals complex parent-of-origin effects in pigs
Lin Tao, Li-Gang Wang, Jian-Bo Li +15
BMC Genomics21 Oct 2026Peer-reviewedCC BY 4.0Genetics & genomicsCrossref
Quantitative mobile gamma-ray spectrometry through Bayesian inference
David Breitenmoser, Alberto Stabilini, Malgorzata Magdalena Kasprzak +1
Nature Communications26 Oct 2026Peer-reviewedCC BY 4.0Full textApplied physics & instrumentationCrossrefPMC

Cite

BibTeX

@misc{anon2026quantitative,
  title = {{Quantitative gene-level inference of tumor transcription from plasma epigenomes}},
  howpublished = {Research Square},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13692620},
  note = {CC BY},
}

RIS

TY  - UNPB
TI  - Quantitative gene-level inference of tumor transcription from plasma epigenomes
PY  - 2026
DA  - 2026/10/05
PB  - Research Square
UR  - https://europepmc.org/article/PMC/PMC13692620
SN  - 2693-5015
ER  -

Related

Cite