Author

D. I. Lin

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

Biology Disciplines

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Cancer Biology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

M. Montesion· 2 shared R. Sharaf· 2 shared A. J. Werth· 1 shared B. Decker· 1 shared B. M. Alexander· 1 shared C. A. Rubadue· 1 shared C. M. Lovly· 1 shared D. C. Pavlick· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersCancer Biology

M. Montesion

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrative analysis of a large real-world cohort of small cell lung cancer identifies distinct genetic subtypes and insights into histological transformation

S. Sivakumar, J. A. Moore, M. Montesion, R. Sharaf, D. I. Lin, Z. Fleischmann, E. M. Ebot, J. Newberg, J. M. Mills, P. S. Hedge, G. M. Frampton, J. Sage, C. M. Lovly

This study analyzes 3,600 SCLC cases to identify new genetic subtypes and insights into histological transformation, revealing associations between genetic alterations and survival outcomes.

bioRxiv · Jul 27, 2022Cancer Biology

CDKN2C homozygous loss identifies a distinct subtype of TP53/RB1-wildtype leiomyosarcoma with frequent CIC genomic alterations and 1p/19q-codeletion

E. A. Williams, R. Sharaf, B. Decker, A. J. Werth, H. Toma, M. Montesion, E. S. Sokol, D. C. Pavlick, N. Shah, J. M. Venstrom, B. M. Alexander, J. S. Ross, L. A. Albacker, D. I. Lin, S. H. Ramkissoon, J. A. Elvin

bioRxiv · Mar 2, 2020Cancer Biology

Automated Clear Cell Renal Carcinoma Grade Classification with Prognostic Significance

K. Tian, C. A. Rubadue, D. I. Lin, M. Veta, M. E. Pyle, H. Irshad, Y. J. Heng

The paper develops an automated 2-tiered Fuhrman grading system for ccRCC using WSI and clinical data, showing prognostic significance in an extended test set.

bioRxiv · Jun 6, 2019Pathology