Author

Z. Sachs

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

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1

Frequent Co-Authors

B. M. Noel· 1 shared C. L. Myers· 1 shared C. Navis· 1 shared D. A. Bernlohr· 1 shared D. M. Dickey· 1 shared L. B. Baughn· 1 shared L. L. Parker· 1 shared L. Marholz· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

B. M. Noel

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2 papers

Recent·Most cited

Machine Learning Investigation Of Gene Expression Datasets Reveals TP53 Mutant-like AML With Wild Type TP53 And Poor Prognosis

Y. Lee, L. B. Baughn, Z. Sachs, C. L. Myers

This study uses machine learning to identify a TP53 mutant-like AML subtype with poor prognosis in TP53 wild-type cases, characterized by distinct gene expression and drug sensitivity profiles.

bioRxiv · Feb 22, 2023 · PreprintCancer Biology

Multi-omic profiling of tyrosine kinase inhibitor-resistant K562 cells suggests metabolic reprogramming to promote cell survival

B. M. Noel, S. B. Ouellette, L. Marholz, D. M. Dickey, C. Navis, T.-Y. Yang, V. Nguyen, S. J. Parker, D. A. Bernlohr, Z. Sachs, L. L. Parker

This study identifies metabolic reprogramming and novel markers in TKI-resistant CML cells through multi-omic profiling.

bioRxiv · Jan 16, 2019 · PreprintCancer Biology