Author

D. Huo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Assay:electrophysiology· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Srisuwananukorn· 1 shared A. T. Pearson· 1 shared A. Woodard· 1 shared C. Hou· 1 shared C. Hu· 1 shared C. M. Perou· 1 shared F. M. Howard· 1 shared G. Khramtsova· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperCancer Biology

A. Srisuwananukorn

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

F. M. Howard, J. Dolezal, S. Kochanny, G. Khramtsova, J. Vickery, A. Srisuwananukorn, A. Woodard, N. Chen, R. Nanda, C. M. Perou, O. I. Olopade, D. Huo, A. T. Pearson

This paper develops a deep learning model that predicts breast cancer recurrence using digital histology and clinical factors, outperforming a clinical nomogram and identifying patients who may avoid genomic testing.

bioRxiv · Jul 7, 2022 · PreprintCancer Biology

Aridity modulates biogeographic distribution and community assembly of cyanobacterial morphotypes in drylands

X. Guo, H. Li, D. Huo, R. Li, S. Zhang, C. Hu, G. Yu, L. Song

This study examines how aridity affects the distribution and community assembly of cyanobacterial morphotypes in drylands, finding that stochastic processes dominate but aridity influences the balance between determinism and stochasticity.

bioRxiv · May 30, 2022 · PreprintEcology

Monitoring the depth of anesthesia using Autoregressive model and Sample entropy

Z. Fugui, C. Hou, X. Luo, D. Huo

This paper develops a method to monitor anesthesia depth using EEG features from sample entropy and autoregressive models, achieving high correlation with BIS index.

bioRxiv · May 10, 2019 · PreprintBioengineering