Alexander J. Hartemink, Professor of Computer Science  

Alexander J. Hartemink

Computational biology, machine learning, Bayesian statistics, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, hidden Markov models, systems biology, computational neurobiology, classification, feature selection

Education:
Ph.D., Massachusetts Institute of Technology, 2001
S.M. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1997
M.Phil. in Economics, Oxford University, 1996
M.Phil., University of Oxford (United Kingdom), 1996
A.B. in Economics, Duke University, 1994
B.S., Duke University, 1994
B.S., Duke University, 1994

Office Location: 308 Research Drive, LSRC D239, Durham, NC 27708-0129
Office Phone: +1 919 660 6514
Email Address: amink@cs.duke.edu
Web Page: https://orcid.org/0000-0002-1292-2606
Additional Web Page: https://users.cs.duke.edu/~amink

Specialties:
Artificial Intelligence

Recent Publications   (More Publications)   (search)

  1. Mitra, S; Malik, R; Wong, W; Rahman, A; Hartemink, AJ; Pritykin, Y; Dey, KK; Leslie, CS, Author Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis., Nature genetics (May, 2024), Springer Science and Business Media LLC [doi] .
  2. Mitra, S; Malik, R; Wong, W; Rahman, A; Hartemink, AJ; Pritykin, Y; Dey, KK; Leslie, CS, Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis., Nature genetics, vol. 56 no. 4 (April, 2024), pp. 627-636 [doi]  [abs].
  3. Chen, B; MacAlpine, HK; Hartemink, AJ; MacAlpine, DM, Spatiotemporal kinetics of CAF-1-dependent chromatin maturation ensures transcription fidelity during S-phase., Genome Res, vol. 33 no. 12 (December, 2023), pp. 2108-2118, Cold Spring Harbor Laboratory [doi]  [abs].
  4. Luo, K; Zhong, J; Safi, A; Hong, LK; Tewari, AK; Song, L; Reddy, TE; Ma, L; Crawford, GE; Hartemink, AJ, Profiling the quantitative occupancy of myriad transcription factors across conditions by modeling chromatin accessibility data., Genome Res, vol. 32 no. 6 (June, 2022), pp. 1183-1198 [doi]  [abs].
  5. Li, Y; Hartemink, AJ; MacAlpine, DM, Cell-Cycle-Dependent Chromatin Dynamics at Replication Origins., Genes (Basel), vol. 12 no. 12 (December, 2021) [doi]  [abs].