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Machine-Learning Enabled Identification of Markers of Huntington’s Disease Progression

by Caitlin Nicholson | Feb 6, 2019 | Articles, Neurology, Posters

Rahul K Das, Jing Tu, Jeanne Latourelle, Cecilia Washburn, Brian Harms, Iya Khalil, John H Warner, Edward J Wild, Cristina Sampaio, Amrita Mohan

Causal modeling of CALGB 80405 (Alliance) identifies network drivers of metastatic colorectal cancer (mCRC)

by Caitlin Nicholson | Jun 6, 2018 | Articles, Causal, Neurology, Posters, Translational

Das, R.K., Furchtgott, L., Cunha, D., Fang-Shu, O., Innocenti, F., Heinz-Josef, L., Meyerhardt, J., Rich, K., Latourelle, J., Niedzwiecki, D., Nixon, A., O’Reilly, E.M., Wuest, D., Hayete, B., Khalil, I., Venook, A. (2018, June). Presented at the ASCO Annual Meeting,...

Reconstruction and simulation of regulatory networks in the Htt allelic series using causal machine learning

by Caitlin Nicholson | Feb 3, 2018 | Articles, Causal, Neurology, Posters

Latourelle J, Yan R, Beste M, Yang T, Hayete B, Khalil I, Aaronson J, Rosinski J. 13th Annual HD Therapeutics Conference. Palm Springs, CA. 2018.

A Bayesian mathematical model of motor and cognitive outcomes in Parkinson’s disease

by Caitlin Nicholson | Jun 12, 2017 | Articles, Journals, Neurology

Hayete B, Wuest D, Laramie J, McDonagh P, Church B, Eberly S, et al. (2017) PLoS ONE 12(6): e0178982.

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