PreprintAll rights reservedbioRxiv
PatHoST: weakly supervised reconstruction of pathogen spatial distributions from host transcriptomes
- 1Universita degli Studi Milano-Bicocca
Related
- A self-supervised reconstruction framework for segment-level detection of task-induced deviations in multi-channel EEG
- GGE: General-purpose deep meta-learning for classification of human transcriptomes with limited data
- A claim-centred atlas distinguishes biological corroboration from analytical depth in plant stress transcriptomes
- Preoptic transcriptomes during courtship reveal the molecular basis of behavioral coordination in a highly social cichlid
- Decoding Cell-level Circadian Phase and Rhythm-state Remodeling in Single-cell Transcriptomes With scRhythmBayes
BibTeX
@misc{marco2026pathost,
title = {{PatHoST: weakly supervised reconstruction of pathogen spatial distributions from host transcriptomes}},
author = {F. Di Marco and F. Nicola and G. Saldarini and D. M. Cirillo and N. I. Lore and A. Graudenzi and S. de Pretis},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.26.759336},
url = {https://www.biorxiv.org/content/10.64898/2026.10.26.759336v1},
}
RIS
TY - UNPB
TI - PatHoST: weakly supervised reconstruction of pathogen spatial distributions from host transcriptomes
AU - F. Di Marco
AU - F. Nicola
AU - G. Saldarini
AU - D. M. Cirillo
AU - N. I. Lore
AU - A. Graudenzi
AU - S. de Pretis
PY - 2026
DA - 2026/10/26
PB - bioRxiv
DO - 10.64898/2026.10.26.759336
UR - https://www.biorxiv.org/content/10.64898/2026.10.26.759336v1
ER -