Multi-omic profiling highlights factors associated with resistance to immuno-chemotherapy in non-small cell lung cancer

Processed bulk RNA-seq, spatial transcriptomics and scRNA-seq dataset of NSCLC related to the article “Multi-omic profiling highlights factors associated with resistance to immuno-chemotherapy in non-small cell lung cancer”.

Application Requirements for Data Access

To apply for access to this dataset, applicants might adhere to the following conditions:

Academic Institution Email: Applicants are required to use an official email address associated with a recognized academic institution.

Identification of Affiliation and Name: Applicants might provide their full name and clearly state their institutional affiliation, including the department or unit.

Usage Commitment: Applicants must agree not to distribute the data to third parties or use it for commercial purposes. The data is to be used solely for academic and research activities.

Additional Information

Application Processing: Please ensure that your application satisfies the above three conditions. You can apply on Zenodo. Applications are processed on a weekly basis.

Contact for Inquiries: If you have any additional questions, please feel free to contact Yilv Yan at [e-mail] and copy Professor Peng Zhang at [e-mail].

Best Wishes: We hope the dataset can help applicants contribute significantly to the field of cancer immunotherapy and computational methods.