Panomics Integration via Machine Learning Prioritizes TAF1D as a Therapeutic Vulnerability in Lung Adenocarcinoma

Lan Ding, Qingmei Xu, Dongdong Liu, Jingyu Wu, Xufan Cai, Feiqi Xu, Shuhan Ma, Haitao Wang, Yanyan Shi

Open source

DOI: 10.1155/humu/1816649
Published: 2026-01
Container: Human Mutation
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/humu/1816649,
  title = {Panomics Integration via Machine Learning Prioritizes TAF1D as a Therapeutic Vulnerability in Lung Adenocarcinoma},
  author = {Lan Ding and Qingmei Xu and Dongdong Liu and Jingyu Wu and Xufan Cai and Feiqi Xu and Shuhan Ma and Haitao Wang and Yanyan Shi},
  year = {2026},
  journal = {Human Mutation},
  doi = {10.1155/humu/1816649},
  url = {https://doi.org/10.1155/humu/1816649}
}

RIS

TY  - JOUR
TI  - Panomics Integration via Machine Learning Prioritizes TAF1D as a Therapeutic Vulnerability in Lung Adenocarcinoma
AU  - Lan Ding
AU  - Qingmei Xu
AU  - Dongdong Liu
AU  - Jingyu Wu
AU  - Xufan Cai
AU  - Feiqi Xu
AU  - Shuhan Ma
AU  - Haitao Wang
AU  - Yanyan Shi
PY  - 2026
JO  - Human Mutation
DO  - 10.1155/humu/1816649
UR  - https://doi.org/10.1155/humu/1816649
ER  -

APA

Ding, L., Xu, Q., Liu, D., Wu, J., Cai, X., Xu, F., Ma, S., Wang, H., & Shi, Y. (2026). Panomics Integration via Machine Learning Prioritizes TAF1D as a Therapeutic Vulnerability in Lung Adenocarcinoma. Human Mutation. https://doi.org/10.1155/humu/1816649

Source records

crossref · retrieved 2026-09-27T02:46:33.884Z