Publications

 

First Author or Senior Author Publications

  1. Wright, C., Meng, Q., Breshock, M.R., Atta, L., Taub, M.A., Jager, L.R., … Hicks, S.C. (2024) Open Case Studies: Statistics and Data Science Education through Real-World Applications. Journal of Statistics and Data Science Education, 1–30. doi:10.1080/26939169.2024.2394541

  2. Afiaz A., Ivanov A.A., Chamberlin J., Hanauer D., Savonen C.L., Goldman M.J., Morgan M., Reich M., Getka A., Holmes A., Pati S., Knight D., Boutros P.C., Bakas S., Caporaso J.G., Del Fiol G., Hochheiser H., Haas B., Schloss P.D., Eddy J.A., Albrecht J., Fedorov A., Waldron L., Hoffman A.M., Bradshaw R.L., Leek J.T., Wright C. (2024) Best practices to evaluate the impact of biomedical research software-metric collection beyond citations. Bioinformatics. 40(8):btae469. doi: 10.1093/bioinformatics/btae469. PMID: 39067017

  3. Hoffman A.M.*, Wright C.* Ten simple rules for teaching an introduction to R. (2024) PLoS Comput Biol. 20(5):e1012018. doi: 10.1371/journal.pcbi.1012018. PMID: 38753606 * These authors contributed equally to this work.

  4. Wright C.*, Rajpurohit A.*, Jaffe A., Burke, E., Williams, C., Collado-Torres, L., Kimos, M., Brandon N., Cross A.J., Weinberger D. R., and Shin J. H. (2019) Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods. BMC Genomics. 20(1):513. PMID: 1226924 * These authors contributed equally to this work.

  5. Rosenberg A.Z.*., Wright C.*., Fox-Talbot K., Rajpurohit A., Williams C., Porter C., Foulke-Abel J., Kovbasnjuk O., McCall M.N., Shin J.H., Haluska, M.K. (2018) xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells. Scientific Reports. 8(1):9783. PMID: 29955168 * These authors contributed equally to this work.

  6. Wright C., Ross D.A., and Weinberger D.R. (2018) Small RNAs may answer big questions in mental illness. Biological Psychiatry. 83(1):e1. PMID: 29173708

  7. Wright C., Shin J.H., Jaffe A., Rajpurohit A., Brandon N., Cross A., Hyde T. M., Kleinman, J.E., and Weinberger D.R. (2017) Altered expression of histamine signaling genes in Autism Spectrum Disorder. Translational Psychiatry. 7(5):e1126. PMID: 28485729

  8. Wright C., Gupta C. N., Chen J., Patel V., Calhoun V.D., Ehrlich S., Wang L., Bustillo J.R., Perrone-Bizzozero N., and Turner J.A. (2016) Polymorphisms in MIR137HG and microRNA-137 regulated genes influence gray matter structure in schizophrenia. Translational Psychiatry. 6:e724. PMID: 26836412

  9. Wright C., Calhoun V., Ehrlich S., Wang L., Turner J.A., and Perrone-Bizzozero N. (2015) Meta gene set enrichment analyses link miR-137-regulated pathways with schizophrenia risk. Frontiers in Genetics. 6:147. PMID: 25941532

  10. Wright C., Turner J.A., Calhoun V.D. and Perrone-Bizzozero N. (2013) Potential impact of miR-137 and its targets in schizophrenia. Frontiers in Genetics. 4:58. PMID: 23637704

Secondary Author Publications

  1. Noller K, Botsis T, Camara PG, Ciotti L, Cooper LAD, Goecks J, Griffith M, Haas BJ, Ideker T, Karchin R, Kontos D, Lai J, Marcus D, Meyer CA, Naegle K, Pati S, Peters B, Pratt D, Raphael BJ, Reich M, Savova GK, Wright, C., Fertig EJ, Bakas S. (2025) Informatics at the Frontier of Cancer Research. Cancer Res. 85(16):2967-2986. doi: 10.1158/0008-5472.CAN-24-2829. PMID: 40600473; PMCID: PMC12355178.

  2. Savonen, C., Wright, C., Hoffman, A.M., Humphries, E.M., Cox, K., Tan, F., Leek, J. (2023) Motivation, inclusivity, and realism should drive data science education. F1000Res 12, 1240, doi:10.12688/f1000research.134655.1

  3. Humphries, E.M., Wright, C., Hoffman, A.M., Savonen, C. & Leek, J.T. (2023) What’s the best chatbot for me? Researchers put LLMs through their paces. Nature doi:10.1038/d41586-023-03023-4

  4. Savonen, C., Wright, C., Hoffman, A.M., Muschelli, J., Cox, K., Tan, F.J., and Leek, J.T., (2022) Open-source Tools for Training Resources – OTTR. I Journal of Statistics and Data Science Education, doi: 10.1080/26939169.2022.2118646

  5. The Genomic Data Science Community Network (2022). Diversifying the genomic data science research community. Genome Res. 32, 1231–1241. PMID: 35858750

  6. Maphis N.M., Jiang S., Binder J., Wright C., Gopalan B., Lamb B.T., and Bhasker K. (2017) Whole genome expression analysis in a mouse model of tauopathy identifies MECP2 as a possible regulator of tau pathology. Frontiers in molecular neuroscience. 10:69. PMID: 28367114

  7. Patel V.S., Kelly S., Wright C., Gupta C. N., Arias-Vasquez A., Perrone-Bizzozero N., Ehrlich S., Wang L., Bustillo J.R., Morris D., Corvin A., Cannon D.M., McDonald C., Donohoe G., Calhoun V.D., and Turner J.A. (2015) MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia, Neuroscience Letters. 602: 44. PMID: 26123324

  8. Gupta C.N., Chen J., Liu J., Damaraju E., Wright C., Perrone-Bizzozero N.I., Pearlson G., Luo L., Michael A.M., Turner J.A., and Calhoun V.D. (2015) Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA. Front. Hum. Neurosci. 9:100. PMID: 25784871

  9. Hass J., Walton E., Wright C., Beyer A., Scholz M., Turner J., Liu J., Smolka M.N., Roessner V., Sponheim S.R., Gollub R.L., Calhoun V.D., and Ehrlich S. (2015) Associations between DNA methylation and schizophrenia-related intermediate phenotypes - a gene set enrichment analysis. Prog Neuropsychopharmacol Biol Psychiatry. 59:31. PMID: 25598502

  10. Savage D.D., Rosenberg M.J., Wolff C.R., Akers K.G., El-Emawy A., Staples M.C., Varaschin R.K., Wright C., Seidel J.L., and Caldwell K.K. (2010) Effects of a novel cognition-enhancing agent on fetal ethanol-induced learning deficits. Alcoholism: Clinical and Experimental Research. 34: 1793. PMID: 20626729

Preprints

  1. Hoffman, A. & Wright, C. Ten simple rules for teaching introduction to R. (2023) edarxiv/g45vz.

  2. Wright, C., Meng Q., Breshock, M.R., Atta, L., Taub, M.A., Jager, L.R., Muschelli, J., and Hicks, S.C. Open Case Studies: Statistics and Data Science Education through Real-World Applications (2023). arXiv.2301.05298

  3. Afiaz, A., Ivanov, A., Chamberlin, J., Hanauer D., Savonen, C., Goldman, M.J., Morgan, M., Reich, M., Getka, A., Holmes, A., Pati, S., Knight, D., Boutros, P.C., Bakas, S., Caporaso, J.G., Del Fiol, G., Hochheiser, H., Haas, B., Schloss, P.D., Eddy, J.A., Albrecht, J., Fedorov, A., Waldron, L., Hoffman, A.M., Bradshaw, R.L., Leek, J.T., Wright, C. Evaluation of software impact designed for biomedical research: Are we measuring what’s meaningful? (2023). arXiv:2306.03255

Other Media

  1. Interviewed for a Nature article: OpenAI launches reasoning LLM that you can download and tweak written by Elizabeth Gibney

  2. Interviewed for a Nature article: What are the best AI tools for research? Nature’s guide written by Elizabeth Gibney

  3. The Cracking the Cancer Code podcast was featured in a blog post for the https://datascience.cancer.gov/ website run by the National Cancer Institute (NCI)

  4. An article in the Hopkins Bloomberg Public Health Magazine from April 15, 2022 that mentions a course developed by C.Wright titled How biased data and algorithms can harm health

  5. A post about the ITCR training network in the Cancer Data Science Pulse featured February 1, 2022 titled NCI’s ITCR Training Network Puts Cancer Research Tools and Training at Your Fingertips