Michael C Wendl, PhD

1994- Genetics (McDonnell Genome Institute) Washington University, Saint Louis, St. Louis, MO 
 1999- Mechanical Engineering Washington University, Saint Louis, St. Louis, MO 
 2010- Mathematics Washington University, Saint Louis, St. Louis, MO 
differential equations, combinatorial probability, fluid mechanics, statistical genetics
"Michael Wendl"
Cross-listing: Physics Tree - MathTree - GenetiTree


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Ramesh Agarwal grad student 1990-1994
Robert Waterston post-doc 1994-2001 (GenetiTree)


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Nathan D. Dees collaborator Washington University (Neurotree)
Li Ding collaborator Washington University (Neurotree)
David Larson collaborator Washington University (FlyTree)
Adam D. Scott collaborator Washington University (Neurotree)
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Yao L, Wang JT, Jayasinghe RG, et al. (2023) Single-cell discovery and multi-omic characterization of therapeutic targets in multiple myeloma. Cancer Research
Li Y, Lih TM, Dhanasekaran SM, et al. (2022) Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness. Cancer Cell
Cui Zhou D, Jayasinghe RG, Chen S, et al. (2022) Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer. Nature Genetics
Storrs EP, Zhou DC, Wendl MC, et al. (2022) Pollock: fishing for cell states. Bioinformatics Advances. 2: vbac028
Chen F, Wendl MC, Wyczalkowski MA, et al. (2021) Moving pan-cancer studies from basic research toward the clinic. Nature Cancer. 2: 879-890
Sun H, Cao S, Mashl RJ, et al. (2021) Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment. Nature Communications. 12: 5086
Liu R, Gao Q, Foltz SM, et al. (2021) Co-evolution of tumor and immune cells during progression of multiple myeloma. Nature Communications. 12: 2559
Huang KL, Scott AD, Zhou DC, et al. (2021) Spatially interacting phosphorylation sites and mutations in cancer. Nature Communications. 12: 2313
Dong G, Wendl MC, Zhang B, et al. (2021) AeQTL: eQTL analysis using region-based aggregation of rare genomic variants. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 26: 172-183
Wang LB, Karpova A, Gritsenko MA, et al. (2021) Proteogenomic and metabolomic characterization of human glioblastoma. Cancer Cell
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