Author

Z. L. Azher

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

B. Christensen· 1 shared J. Levy· 1 shared L. A. Salas· 1 shared L. J. Vaickus· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPathology

B. Christensen

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Development of Biologically Interpretable Multimodal Deep Learning Model for Cancer Prognosis Prediction

Z. L. Azher, L. J. Vaickus, L. A. Salas, B. Christensen, J. Levy

This paper develops a multimodal deep learning model for cancer prognosis that integrates gene expression, DNA methylation, histopathological imaging, and clinical data, showing improved performance over unimodal approaches.

bioRxiv · Oct 30, 2021 · PreprintPathology