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2020 – today
- 2024
[i23]Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang:
Jump Cut Smoothing for Talking Heads. CoRR abs/2401.04718 (2024)- [i22]Xi Chen, Yang Cai, Yuan Wu, Bo Xiong, Taesung Park:
Multi-Scale Semantic Segmentation with Modified MBConv Blocks. CoRR abs/2402.04618 (2024) - [i21]Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu:
One-Step Image Translation with Text-to-Image Models. CoRR abs/2403.12036 (2024) - [i20]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR abs/2404.12333 (2024) - [i19]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. CoRR abs/2404.12382 (2024) - [i18]Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR abs/2404.12388 (2024) - [i17]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i16]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i15]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - 2023
- [c61]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CVPR 2023: 10124-10134 - [c60]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c59]Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang:
Expressive Text-to-Image Generation with Rich Text. ICCV 2023: 7511-7522 - [c58]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [i14]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i13]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i12]Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang:
Expressive Text-to-Image Generation with Rich Text. CoRR abs/2304.06720 (2023) - [i11]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - [i10]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - 2022
- [j87]Chanwoo Park
, Boram Kim, Taesung Park:
DeepHisCoM: deep learning pathway analysis using hierarchical structural component models. Briefings Bioinform. 23(5) (2022) - [j86]Seungyoon Nam, Sungyoung Lee, Sungjin Park, Jinhyuk Lee, Aron Park, Yon Hui Kim, Taesung Park:
PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method. Bioinform. 38(2): 444-452 (2022) - [j85]Suhyun Hwangbo, Sungyoung Lee, Seungyeoun Lee, Heungsun Hwang, Inyoung Kim, Taesung Park:
Kernel-based hierarchical structural component models for pathway analysis. Bioinform. 38(11): 3078-3086 (2022) - [j84]Sun Ah Kim, Nayeon Kang, Taesung Park:
Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1302-1312 (2022) - [j83]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41(4): 74:1-74:12 (2022) - [c57]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [i9]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i8]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR abs/2205.12231 (2022) - 2021
- [b1]Taesung Park:
Machine Learning for Deep Image Manipulation. University of California, Berkeley, USA, 2021 - [j82]Mira Park, Hoe-Bin Jeong, Jong-Hyun Lee, Taesung Park:
Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes. BMC Bioinform. 22(1): 480 (2021) - [j81]Taewan Goo, Kyulhee Han, Catherine Apio, Taesung Park:
Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data. Int. J. Data Min. Bioinform. 25(1/2): 1-16 (2021) - [j80]Md. Kamruzzaman, Yonggab Kim, Yeni Lim, Oran Kwon, Taesung Park:
Evaluation of statistical methods for the analysis of crossover designs with repeated measurements. Int. J. Data Min. Bioinform. 25(1/2): 86-102 (2021) - [c56]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. ICCVW 2021: 1934-1943 - [i7]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. CoRR abs/2111.06934 (2021) - 2020
- [j79]Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions. Int. J. Data Min. Bioinform. 23(4): 299-317 (2020) - [j78]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park:
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. Int. J. Data Min. Bioinform. 24(1): 1-15 (2020) - [j77]Prasoon Joshi, Seokho Jeong, Taesung Park:
Sparse superlayered neural network-based multi-omics cancer subtype classification. Int. J. Data Min. Bioinform. 24(1): 58-73 (2020) - [j76]TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park:
Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. Int. J. Data Min. Bioinform. 24(2): 121-139 (2020) - [j75]Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn:
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. Int. J. Data Min. Bioinform. 24(3): 220-237 (2020) - [c55]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) 2020: 319-345 - [c54]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [e2]Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7 [contents] - [i6]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. CoRR abs/2007.00653 (2020) - [i5]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2007.15651 (2020) - [i4]Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR abs/2011.14551 (2020)
2010 – 2019
- 2019
- [j74]Ik-Soo Huh, Xin Wu, Taesung Park, Soojin V. Yi:
Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species. Briefings Bioinform. 20(1): 33-46 (2019) - [j73]Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Bermseok Oh, Hyuk Kim, Taesung Park:
Topological data analysis can extract sub-groups with high incidence rates of Type 2 diabetes. Int. J. Data Min. Bioinform. 22(1): 44-60 (2019) - [j72]Mira Park, Eunbin Choi, Heonsu Lee, Yongkang Kim, Taesung Park:
Exploratory analysis for detecting population structures by iterative pruning based on independent component analysis. Int. J. Data Min. Bioinform. 22(1): 61-74 (2019) - [c53]Yonggab Kim, Md. Kamruzzaman, Yeni Lim, Oran Kwon, Taesung Park:
Comparison of Statistical Models for Cross-over design. BIBM 2019: 1211-1213 - [c52]Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two stage pattern clustering analysis in cross-over experimental design. BIBM 2019: 1977-1981 - [c51]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park:
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. BIBM 2019: 1982-1987 - [c50]Prasoon Joshi, Seokho Jeong, Taesung Park:
Cancer Subtype Classification based on Superlayered Neural Network. BIBM 2019: 1988-1992 - [c49]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR 2019: 2337-2346 - [i3]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR abs/1903.07291 (2019) - 2018
- [j71]Seungyeoun Lee, Donghee Son, Yongkang Kim, Wenbao Yu, Taesung Park:
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. BioData Min. 11(1): 27:1-27:13 (2018) - [j70]Yongkang Kim, Sungyoung Lee, Sungkyoung Choi, Jin-Young Jang, Taesung Park:
Hierarchical structural component modeling of microRNA-mRNA integration analysis. BMC Bioinform. 19-S(4): 25-34 (2018) - [j69]Sungyoung Lee, Yongkang Kim, Sungkyoung Choi, Heungsun Hwang, Taesung Park:
Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes. BMC Bioinform. 19-S(4): 85-97 (2018) - [j68]Sungtae Kim, Sungkyoung Choi, Jung-Hwan Yoon, Youngsoo Kim, Seungyeoun Lee, Taesung Park:
Drug response prediction model using a hierarchical structural component modeling method. BMC Bioinform. 19-S(9): 117-128 (2018) - [j67]Min-Seok Kwon, Sangseob Leem, Joon Yoon, Taesung Park:
GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data. BMC Syst. Biol. 12(S-2): 21-31 (2018) - [j66]You-Jung Lee, Hyein Kim, Taesung Park, Mira Park:
Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. Int. J. Data Min. Bioinform. 20(1): 1-11 (2018) - [j65]Yongjun Jo, Hyojin Lee, Oran Kwon, Taesung Park:
Determining sample size for cross-over designs with multiple groups. Int. J. Data Min. Bioinform. 20(1): 36-46 (2018) - [j64]Sunghwan Bae, Taesung Park:
Risk prediction of type 2 diabetes using common and rare variants. Int. J. Data Min. Bioinform. 20(1): 77-90 (2018) - [j63]Suhyun Hwangbo, Jin-Young Jang, Bermseok Oh, Atsuko Imai-Okazaki, Jurg Ott, Taesung Park:
Association test for rare variants using the hamming distance. Int. J. Data Min. Bioinform. 21(4): 301-314 (2018) - [j62]TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song, Taesung Park:
Predicting survival outcomes in ovarian cancer using gene expression data. Int. J. Data Min. Bioinform. 21(4): 339-351 (2018) - [j61]Sangseob Leem, Dae Ho Lee, Taesung Park:
SPARTA: super-fast permutation approach to approximate extremely low p-values. Int. J. Data Min. Bioinform. 21(4): 352-364 (2018) - [j60]Sungkyoung Choi, Sungyoung Lee, Yongkang Kim, Heungsun Hwang, Taesung Park:
HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. J. Bioinform. Comput. Biol. 16(6): 1840026:1-1840026:25 (2018) - [j59]Ik-Soo Huh, Isabel Mendizabal, Taesung Park, Soojin V. Yi:
Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals. PLoS Comput. Biol. 14(10) (2018) - [j58]Hye-Young Jung, Heawon Choi, Taesung Park:
Fuzzy heaping mechanism for heaped count data with imprecision. Soft Comput. 22(14): 4585-4594 (2018) - [c48]TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park:
Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data. BIBM 2018: 1748-1752 - [c47]TaeJin Ahn, Nayeon Kang, Yonggab Kim, Taesung Park:
Gene expression based prediction of prognostic outcome in ovarian cancer. BIBM 2018: 1753-1757 - [c46]Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Hyuk Kim, Taesung Park:
Topological data analysis can extract subgroups with high incidence rates of Type 2 diabetes. BIBM 2018: 1758 - [c45]Sangseob Leem, Taesung Park:
An approximation method of extremely low p-values using permutation test. BIBM 2018: 1759-1763 - [c44]Mira Park, Eunbin Choi, Yongkang Kim, Taesung Park:
Detecting population structures by independent component analysis. BIBM 2018: 1784-1787 - [c43]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - 2017
- [j57]Sangseob Leem, Taesung Park:
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions. BMC Genom. 18(S2) (2017) - [j56]Yongchan Kwon, Young-Geun Choi, Taesung Park, Andreas Ziegler, Myunghee Cho Paik:
Generalized estimating equations with stabilized working correlation structure. Comput. Stat. Data Anal. 106: 1-11 (2017) - [j55]Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park:
Multivariate summary approach to omics data from crossover design with two repeated factors. Int. J. Data Min. Bioinform. 18(3): 196-209 (2017) - [j54]Yongkang Kim, Gyu-Tae Kim, Min-Seok Kwon, Taesung Park:
Statistical quality control analysis of high-dimensional omics data. Int. J. Data Min. Bioinform. 18(3): 210-222 (2017) - [j53]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Analysis of clustered RNA-seq data. Int. J. Data Min. Bioinform. 19(1): 19-31 (2017) - [j52]Chanyoung Lee, Seungyeoun Lee, Taesung Park:
Statistical methods for metagenomics data analysis. Int. J. Data Min. Bioinform. 19(4): 366-385 (2017) - [c42]Sunghwan Bae, Taesung Park:
Risk prediction using common and rare genetic variants: Application to Type 2 diabetes. BIBM 2017: 1757-1760 - [c41]Yongjun Jo, Taesung Park:
Sample size calculation for comparing multiple groups in cross-over designs. BIBM 2017: 1769-1771 - [c40]Yoojung Lee, Hyein Kim, Taesung Park, Mira Park:
Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. BIBM 2017: 1772-1776 - [c39]Chanyoung Lee, Seungyeoun Lee, Taesung Park:
A comparison study of statistical methods for the analysis metagenome data. BIBM 2017: 1777-1781 - [c38]Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros:
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. ICCV 2017: 2242-2251 - [i2]Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros:
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. CoRR abs/1703.10593 (2017) - [i1]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - 2016
- [j51]Sungyoung Lee, Sungkyoung Choi, Young Jin Kim, Bong-Jo Kim, Heungsun Hwang, Taesung Park:
Pathway-based approach using hierarchical components of collapsed rare variants. Bioinform. 32(17): 586-594 (2016) - [j50]Wenbao Yu, Seungyeoun Lee, Taesung Park:
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. Bioinform. 32(17): 605-610 (2016) - [j49]Jaehoon Lee, Young Jin Kim, Juyoung Lee, Bong-Jo Kim, Seungyeoun Lee, Taesung Park:
Gene-set association tests for next-generation sequencing data. Bioinform. 32(17): 611-619 (2016) - [j48]Hye-Young Jung, Sangseob Leem, Sungyoung Lee, Taesung Park:
A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction. Comput. Biol. Chem. 65: 193-202 (2016) - [j47]Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park:
A post-hoc genome-wide association study using matched samples. Int. J. Data Min. Bioinform. 14(3): 197-209 (2016) - [j46]Ik-Soo Huh, Taesung Park:
Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction. Int. J. Data Min. Bioinform. 14(4): 293-304 (2016) - [j45]Jungsoo Gim, Taesung Park:
The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments. Int. J. Data Min. Bioinform. 15(1): 1-9 (2016) - [j44]Rama Srikanth Mallavarapu, TaeJin Ahn, Subhankar Mukherjee, Ajit S. Bopardikar, Garima Agarwal, Taesung Park:
Estimating functional coupling between cancer gene sub-networks using novel interaction measures. Int. J. Data Min. Bioinform. 15(1): 10-21 (2016) - [j43]Seunghyun Lee, Taesung Park, Mira Park:
Principal variable approach to multipurpose SNP selection in genetic association studies. Int. J. Data Min. Bioinform. 16(1): 32-46 (2016) - [j42]Yongkang Kim, Min-Seok Kwon, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Wooil Kwon, Sun Whe Kim, Jin-Young Jang, Hyunsoo Kim, Youngsoo Kim, Seungyeoun Lee, Taesung Park:
Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods. Int. J. Data Min. Bioinform. 16(1): 64-76 (2016) - [j41]Haewon Choi, Hye-Young Jung, Taesung Park:
Statistical analysis for aggregated count data in genetic association studies. Int. J. Data Min. Bioinform. 16(1): 77-91 (2016) - [j40]Sohee Oh, Ik-Soo Huh, Seung Yeoun Lee, Taesung Park:
Analysis of multiple related phenotypes in genome-wide association studies. J. Bioinform. Comput. Biol. 14(5): 1644005:1-1644005:23 (2016) - [j39]Jungsoo Gim, Sungho Won, Taesung Park:
Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. J. Bioinform. Comput. Biol. 14(5): 1644006:1-1644006:13 (2016) - [c37]Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park:
Analysis for doubly repeated omics data from crossover design. BIBM 2016: 1749-1752 - [c36]Gyu-Tae Kim, Yongkang Kim, Min-Seok Kwon, Taesung Park:
Quality control plot for high dimensional omics data. BIBM 2016: 1763-1766 - [c35]Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Multivariate approach to the analysis of correlated RNA-seq data. BIBM 2016: 1783-1786 - 2015
- [j38]Sungho Won, Wonji Kim, Sungyoung Lee, Young Lee, Joohon Sung, Taesung Park:
Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple variants. BMC Bioinform. 16: 46:1-46:14 (2015) - [j37]Wenbao Yu, Taesung Park:
Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve. Comput. Stat. Data Anal. 88: 15-27 (2015) - [c34]Ik-Soo Huh, Soojin V. Yi, Taesung Park:
A test for detecting differentially methylated regions. BIBM 2015: 305-308 - [c33]Yongkang Kim, Seungyeoun Lee, Min-Seok Kwon, Ahrum Na, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Meejoo Kang, Sun Whe Kim, Jin-Young Jang, Yikwon Kim, Youngsoo Kim, Taesung Park:
Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data. BIBM 2015: 1345-1350 - [c32]Sungkyoung Choi, Sungyoung Lee, Ik-Soo Huh, Heungsun Hwang, Taesung Park:
Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data. BIBM 2015: 1351-1358 - [c31]Haewon Choi, Hye-Young Jung, Taesung Park:
Genetic association tests for cigarattes per day. BIBM 2015: 1359-1362 - [c30]Min-Seok Kwon, Sungyoung Lee, Yongkang Kim, Taesung Park:
VizEpis : A visualization and mapping tool for interpreting epistasis. BIBM 2015: 1363-1366 - 2014
- [j36]Shinuk Kim, Taesung Park, Mark A. Kon:
Cancer survival classification using integrated data sets and intermediate information. Artif. Intell. Medicine 62(1): 23-31 (2014) - [j35]