Software

Supporting code for article: Revealing the spatial-molecular fingerprint of BMP4 expression in breast cancer tumors using ToF-SIMS and multiple instance learning

La Trobe University
Associate Professor Paul Pigram (Aggregated by) David Winkler (Aggregated by) Paul Pigram (Aggregated by) Sarah Bamford (Aggregated by) Wil Gardner (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/29936921.v1&rft.title=Supporting code for article: Revealing the spatial-molecular fingerprint of BMP4 expression in breast cancer tumors using ToF-SIMS and multiple instance learning&rft.identifier=10.26181/29936921.v1&rft.publisher=La Trobe University&rft.description=Supporting code: Revealing the spatial-molecular fingerprint of BMP4 expression in breast cancer tumors using ToF-SIMS and multiple instance learning.This repository is intended as a static, DOI-backed reference to the actual code repository.If you use this method in your research, please cite this paper.&rft.creator=Associate Professor Paul Pigram&rft.creator=David Winkler&rft.creator=Paul Pigram&rft.creator=Sarah Bamford&rft.creator=Wil Gardner&rft.date=2026&rft_rights= https://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Information and computing sciences&rft_subject=Physical sciences&rft_subject=Artificial intelligence&rft_subject=Machine learning&rft_subject=Neural networks&rft_subject=weakly-supervised learning&rft_subject=multiple-instance learning&rft_subject=stability selection&rft.type=Computer Program&rft.language=English Access the software
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Other view details

Full description

Supporting code: Revealing the spatial-molecular fingerprint of BMP4 expression in breast cancer tumors using ToF-SIMS and multiple instance learning.

This repository is intended as a static, DOI-backed reference to the actual code repository.

If you use this method in your research, please cite this paper.

Issued: 06 03 2026

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Grants and Projects

Subjects
Artificial intelligence | Information and computing sciences | Machine learning | Neural networks | Physical sciences | multiple-instance learning | stability selection | weakly-supervised learning |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857