TRPA5 encodes a thermosensitive ankyrin ion channel receptor in a triatomine insect
Liénard, Marjorie A. 2024. “TRPA5 encodes a Thermosensitive Ankyrin Ion Channel Receptor in a Triatomine Insect”. IScience.
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Sources of Variation in the Spectral Slope of the Sleep EEG
Kozhemiako, Nataliia. 2023. “Sources of Variation in the Spectral Slope of the Sleep EEG”. ENeuro.
Evaluating the role of pre-training dataset size and diversity on single-cell foundation model performance
DenAdel, Alan, Madeline Hughes, Akshaya Thoutam, Anay Gupta, Andrew W. Navia, Nicolo Fusi, Srivatsan Raghavan, Peter S. Winter, Ava P. Amini, and Lorin Crawford. 2024. “Evaluating the Role of Pre-Training Dataset Size and Diversity on Single-Cell Foundation Model Performance”. BioRxiv.
BRAF mutation predicts sensitivity to MEK inhibition
Solit, David, Levi Garraway, Christine Pratilas, Ayana Sawai, Gad Getz, Andrea Basso, Qing Ye, et al. 2006. “BRAF Mutation Predicts Sensitivity to MEK Inhibition”. Nature 439 (7074): 358-62.
Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia
Jaffe, Jacob, Yan Wang, Ho Man Chan, Jinghui Zhang, Robert Huether, Gregory Kryukov, Hyo-eun Bhang, et al. 2013. “Global Chromatin Profiling Reveals NSD2 Mutations in Pediatric Acute Lymphoblastic Leukemia”. Nat Genet 45 (11): 1386-91.
A New Look at Race in America
Wasswa, George. Forthcoming. A New Look at Race in America. University Press.
Public Policy & Corporations
Wasswa, George. 2017. “Public Policy & Corporations”. In Law and Public Policies. University Press.
American Government and Policies
Wasswa, George. 2012. American Government and Policies. University Press.
Densely interconnected transcriptional circuits control cell states in human hematopoiesis
Novershtern, N., A. Subramanian, L. N. Lawton, R. H. Mak, W. N. Haining, M. E. McConkey, N. Habib, et al. 2011. “Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis”. Cell 144: 296-309.
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification
Nutt, C. L., D. R. Mani, R. A. Betensky, P. Tamayo, J. G. Cairncross, C. Ladd, U. Pohl, et al. 2003. “Gene Expression-Based Classification of Malignant Gliomas Correlates Better With Survival Than Histological Classification”. Cancer Res 63: 1602-7.