BioTrajX: evaluating biological plausibility in single-cell trajectory inference

Mechanistic gene-regulation-based trajectory inference with bowside
J. T. Schleicher, M. Zago, M. Claassen
bioRxiv26 Oct 2026PreprintCC BY-NCFull textBioinformatics & computational biologybioRxiv
Multi-Trajectory Pseudotime Inference via Permutation Factorizations
R. Farina, Y. Wang, M. I. Gabitto +2
bioRxiv27 May 2026PreprintCC BYFull textNeurosciencebioRxiv
PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
Chenglei Yu, Chuanrui Wang, Bangyan Liao +1
arXiv20 Oct 2026PreprintCC BY 4.0Full textGenetics & genomicsarXiv
CardamomOT: A mechanistic optimal transport-based framework for gene regulatory network inference, trajectory reconstruction and generative modeling
Yann Maugé, Elias Ventre
PLOS Computational Biology6 Oct 2026Peer-reviewedCC BYFull text1 citedMolecular biology & gene regulation Bioinformatics & computational biologyPLOSEurope PMC
Beyond Segmentation Accuracy: Evaluating Biological Fidelity in Spatial Pathology
N. Dimitrova, M. Stoimchev, A. Filliol +5
bioRxiv17 Oct 2026PreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv

Cite

BibTeX

@misc{li2026biotrajx,
  title = {{BioTrajX: evaluating biological plausibility in single-cell trajectory inference}},
  author = {T. Y. Li and Y.-M. Chang and S.-Y. Chen},
  howpublished = {bioRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.02.763572},
  url = {https://www.biorxiv.org/content/10.64898/2026.11.02.763572v1},
}

RIS

TY  - UNPB
TI  - BioTrajX: evaluating biological plausibility in single-cell trajectory inference
AU  - T. Y. Li
AU  - Y.-M. Chang
AU  - S.-Y. Chen
PY  - 2026
DA  - 2026/11/02
PB  - bioRxiv
DO  - 10.64898/2026.11.02.763572
UR  - https://www.biorxiv.org/content/10.64898/2026.11.02.763572v1
ER  -

Related

Cite