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2020 – today
- 2025
[j19]James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do:
Causal models and prediction in cell line perturbation experiments. BMC Bioinform. 26(1): 4 (2025)- 2023
- [j18]Caleb A. Class
, Caiden J. Lukan, Christopher A. Bristow, Kim-Anh Do:
Easy NanoString nCounter data analysis with the NanoTube. Bioinform. 39(1) (2023) - [j17]Licai Huang, James P. Long, Ehsan Irajizad, James D. Doecke, Kim-Anh Do, Min Jin Ha:
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes. Bioinform. 39(1) (2023) - 2022
- [j16]David J. H. Shih, Ruoxing Li, Peter Müller, W. Jim Zheng, Kim-Anh Do, Shiaw-Yih Lin, Scott L. Carter:
CNGPLD: case-control copy-number analysis using Gaussian process latent difference. Bioinform. 38(8): 2096-2101 (2022) - [j15]Ziyi Li, Yizhuo Wang, Irene Ganan-Gomez, Simona Colla, Kim-Anh Do:
A machine learning-based method for automatically identifying novel cells in annotating single-cell RNA-seq data. Bioinform. 38(21): 4885-4892 (2022) - [j14]Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathy, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz E. Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim-Anh Do, Sam Hanash, Johannes F. Fahrmann:
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Frontiers Artif. Intell. 5 (2022) - 2021
- [j13]Liangliang Zhang, Yushu Shi, Kim-Anh Do, Christine B. Peterson, Robert R. Jenq:
ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries. BMC Bioinform. 22(1): 126 (2021) - [j12]Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do:
Scalable network estimation with L0 penalty. Stat. Anal. Data Min. 14(1): 18-30 (2021) - 2020
- [j11]Priyam Das, Christine B. Peterson, Kim-Anh Do, Rehan Akbani, Veerabhadran Baladandayuthapani:
NExUS: Bayesian simultaneous network estimation across unequal sample sizes. Bioinform. 36(3): 798-804 (2020) - [j10]Yushu Shi, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson, Robert R. Jenq:
aPCoA: covariate adjusted principal coordinates analysis. Bioinform. 36(13): 4099-4101 (2020) - [j9]Min Jin Ha, Junghi Kim, Jessica Galloway-Pena, Kim-Anh Do, Christine B. Peterson:
Compositional zero-inflated network estimation for microbiome data. BMC Bioinform. 21-S(21): 581 (2020)
2010 – 2019
- 2018
- [j8]Caleb A. Class, Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do:
iDINGO - integrative differential network analysis in genomics with Shiny application. Bioinform. 34(7): 1243-1245 (2018) - 2016
- [j7]Xuebei An, Jianhua Hu, Kim-Anh Do:
SIFORM: shared informative factor models for integration of multi-platform bioinformatic data. Bioinform. 32(21): 3279-3290 (2016) - 2015
- [j6]Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do:
DINGO: differential network analysis in genomics. Bioinform. 31(21): 3413-3420 (2015) - 2013
- [j5]Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju Manyam, Kim-Anh Do:
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinform. 29(2): 149-159 (2013) - [j4]Wenting Wang, Veerabhadran Baladandayuthapani, Chris C. Holmes, Kim-Anh Do:
Integrative network-based Bayesian analysis of diverse genomics data. BMC Bioinform. 14(S-13): S8 (2013) - 2012
- [j3]Bradley M. Broom, Kim-Anh Do, Devika Subramanian:
Model averaging strategies for structure learning in Bayesian networks with limited data. BMC Bioinform. 13(S-13): S10 (2012) - 2011
- [j2]Vinícius Bonato, Veerabhadran Baladandayuthapani, Bradley M. Broom, Erik P. Sulman, Kenneth D. Aldape, Kim-Anh Do:
Bayesian ensemble methods for survival prediction in gene expression data. Bioinform. 27(3): 359-367 (2011) - 2010
- [j1]Bradley M. Broom, Erik P. Sulman, Kim-Anh Do, Mary E. Edgerton, Kenneth D. Aldape:
Bagged gene shaving for the robust clustering of high-throughput data. Int. J. Bioinform. Res. Appl. 6(4): 326-343 (2010)
1990 – 1999
- 1992
- [c1]Andrew Tridgell, J. Bruce Millar, Kim-Anh Do:
Alternative preprocessing techniques for discrete hidden Markov model phoneme recognition. ICSLP 1992: 631-634
Coauthor Index
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