Toby Hocking

Search results

• Additional file 1 of Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

  Rigaill, G. (Creator), Hocking, T. D. (Creator) & Liehrmann, A. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.14782689.v1, https://doi.org/10.6084%2Fm9.figshare.14782689.v1

  Dataset

• Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set

  Vargovich, J. (Creator) & Hocking, T. D. (Creator), Taylor & Francis, 2021

  DOI: 10.6084/m9.figshare.17014513.v1, https://tandf.figshare.com/articles/dataset/Linear_time_dynamic_programming_for_computing_breakpoints_in_the_regularization_path_of_models_selected_from_a_finite_set/17014513/1

  Dataset

• Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set

  Vargovich, J. (Creator) & Hocking, T. D. (Creator), Taylor & Francis, 2021

  DOI: 10.6084/m9.figshare.17014513, https://tandf.figshare.com/articles/dataset/Linear_time_dynamic_programming_for_computing_breakpoints_in_the_regularization_path_of_models_selected_from_a_finite_set/17014513

  Dataset

• Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

  Liehrmann, A. (Creator), Rigaill, G. (Creator) & Hocking, T. D. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.c.5467308, https://springernature.figshare.com/collections/Increased_peak_detection_accuracy_in_over-dispersed_ChIP-seq_data_with_supervised_segmentation_models/5467308

  Dataset

• Microbial carbon use efficiency promotes global soil carbon storage

  Tao, F. (Contributor), Huang, Y. (Contributor), Hungate, B. A. (Contributor), Manzoni, S. (Contributor), Frey, S. D. (Contributor), Schmidt, M. W. I. (Contributor), Reichstein, M. (Contributor), Carvalhais, N. (Contributor), Ciais, P. (Contributor), Jiang, L. (Contributor), Lehmann, J. (Contributor), Wang, Y.-P. (Contributor), Houlton, B. Z. (Contributor), Ahrens, B. (Contributor), Mishra, U. (Contributor), Hugelius, G. (Contributor), Hocking, T. D. (Contributor), Lu, X. (Contributor), Shi, Z. (Contributor), Vargas, R. (Contributor), Yigini, Y. (Contributor), Omuto, C. (Contributor), Malik, A. A. (Contributor), Liao, C. (Contributor), Saynes, V. S. (Contributor) & Luo, Y. (Contributor), Zenodo, Feb 25 2023

  DOI: 10.5281/zenodo.7676632, https://zenodo.org/records/7676632

  Dataset

• Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

  Liehrmann, A. (Creator), Rigaill, G. (Creator) & Hocking, T. D. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.c.5467308.v1, https://springernature.figshare.com/collections/Increased_peak_detection_accuracy_in_over-dispersed_ChIP-seq_data_with_supervised_segmentation_models/5467308/1

  Dataset

• Survival regression with accelerated failure time model in XGBoost

  Barnwal, A. (Creator), Cho, H. (Creator) & Hocking, T. (Creator), Taylor & Francis, 2022

  DOI: 10.6084/m9.figshare.19651403, https://tandf.figshare.com/articles/dataset/Survival_regression_with_accelerated_failure_time_model_in_XGBoost/19651403

  Dataset

• Survival regression with accelerated failure time model in XGBoost

  Barnwal, A. (Creator), Cho, H. (Creator) & Hocking, T. (Creator), Taylor & Francis, 2022

  DOI: 10.6084/m9.figshare.19651403.v1, https://tandf.figshare.com/articles/dataset/Survival_regression_with_accelerated_failure_time_model_in_XGBoost/19651403/1

  Dataset