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Di Ran

Showing results (1-10 of 48) with videos related to

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Cell Host & Microbe|August 15, 2024
Fighting the invisible foe in cancer therapyDi Ran, Jun Sun
Pharmaceutical Statistics|August 7, 2024
Tutorial on Firth's Logistic Regression Models for Biomarkers in Preclinical SpaceGina D'Angelo, Di Ran
Nucleic Acids Research|May 24, 2017
Gene expression variability and the analysis of large-scale RNA-seq studies with the MDSeqDi Ran, Z John Daye
Therapeutic Innovation & Regulatory Science|June 28, 2025
Evaluation of Optimal Cut-Offs and Dichotomous Combinations for Two Biomarkers to Improve Patient SelectionGina D'Angelo, Di Ran, Binbing Yu
Journal of Biopharmaceutical Statistics|June 9, 2022
Comment on 'statistical consideration and challenges in bridging study of personalized medicine': a modified variance for sensitivity analysisDan Jackson, Charlotte White, Di Ran
Frontiers in Genetics|March 3, 2020
Normalization Methods on Single-Cell RNA-seq Data: An Empirical SurveyNicholas Lytal, Di Ran, Lingling An
Pharmaceutical Statistics|October 20, 2025
Utility-Based Dose Optimization Approaches for Multiple-Dose Randomized Trial Designs Accounting for Multiple EndpointsGina D'Angelo, Guannan Chen, Di Ran
Bioinformatics (Oxford, England)|May 5, 2020
scDoc: correcting drop-out events in single-cell RNA-seq dataDi Ran, Shanshan Zhang, Nicholas Lytal, et al.
The Science of the Total Environment|January 23, 2021
Cadmium toxicity: A role in bone cell function and teeth developmentYonggang Ma, Di Ran, Xueni Shi, et al.
Therapeutic Innovation & Regulatory Science|March 7, 2026
Assessing the Contribution of Components in Late-Phase Oncology Trials: A Roadmap of Key ApproachesXiaowen Tian, Kristine Broglio, Di Ran, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Cell Host & Microbe|August 15, 2024
Fighting the invisible foe in cancer therapyDi Ran, Jun Sun
Pharmaceutical Statistics|August 7, 2024
Tutorial on Firth's Logistic Regression Models for Biomarkers in Preclinical SpaceGina D'Angelo, Di Ran
Nucleic Acids Research|May 24, 2017
Gene expression variability and the analysis of large-scale RNA-seq studies with the MDSeqDi Ran, Z John Daye
Therapeutic Innovation & Regulatory Science|June 28, 2025
Evaluation of Optimal Cut-Offs and Dichotomous Combinations for Two Biomarkers to Improve Patient SelectionGina D'Angelo, Di Ran, Binbing Yu
Journal of Biopharmaceutical Statistics|June 9, 2022
Comment on 'statistical consideration and challenges in bridging study of personalized medicine': a modified variance for sensitivity analysisDan Jackson, Charlotte White, Di Ran
Frontiers in Genetics|March 3, 2020
Normalization Methods on Single-Cell RNA-seq Data: An Empirical SurveyNicholas Lytal, Di Ran, Lingling An
Pharmaceutical Statistics|October 20, 2025
Utility-Based Dose Optimization Approaches for Multiple-Dose Randomized Trial Designs Accounting for Multiple EndpointsGina D'Angelo, Guannan Chen, Di Ran
Bioinformatics (Oxford, England)|May 5, 2020
scDoc: correcting drop-out events in single-cell RNA-seq dataDi Ran, Shanshan Zhang, Nicholas Lytal, et al.
The Science of the Total Environment|January 23, 2021
Cadmium toxicity: A role in bone cell function and teeth developmentYonggang Ma, Di Ran, Xueni Shi, et al.
Therapeutic Innovation & Regulatory Science|March 7, 2026
Assessing the Contribution of Components in Late-Phase Oncology Trials: A Roadmap of Key ApproachesXiaowen Tian, Kristine Broglio, Di Ran, et al.
Pageof 5