Selecting SNPs for pharmacogenomic association study. - TaeJin Ahn; Kyunghee Park; Dae-Soon Son; Nam Huh; Kyusang Lee; Taejung Bae; Jungsun Park; Sohee Oh; Ji-Hyun Lee; Kyoohyoung Rho; Sung Kim; Taesung Park (BIBM Workshops, 2010)

Algorithm for DNA sequence compression based on prediction of mismatch bases and repeat location. - Kalyan Kumar Kaipa; Ajit S. Bopardikar; Abhilash Srikantha; Parthasarathy Venkataraman; Kyusang Lee; TaeJin Ahn; Rangavittal Narayanan (BIBM Workshops, 2010)

System for random access DNA sequence compression. - Kalyan Kumar Kaipa; Kyusang Lee; TaeJin Ahn; Rangavittal Narayanan (BIBM Workshops, 2010)

A fast algorithm for exact sequence search in biological sequences using polyphase decomposition. - Abhilash Srikantha; Ajit S. Bopardikar; Kalyan Kumar Kaipa; Parthasarathy Venkataraman; Kyusang Lee; TaeJin Ahn; Rangavittal Narayanan (Bioinform., 2010)

No-Reference Compression of Genomic Data Stored in FASTQ Format. - Vishal Bhola; Ajit S. Bopardikar; Rangavittal Narayanan; Kyusang Lee; TaeJin Ahn (BIBM, 2011)

A data aggregation framework for cancer subtype discovery. - S. N. Nagabhushan; TaeJin Ahn; M. R. Srikanth; Taesung Park; Ajit S. Bopardikar; Rangavittal Narayanan (BIBM Workshops, 2012)

Selecting SNPs for pharmacogenomic association study. - TaeJin Ahn; Kyunghee Park; Dae-Soon Son; Nam Huh; Sohee Oh; Taejung Bae; Jungsun Park; Ji-Hyun Lee; Kyoohyoung Rho; Sunghoon Kim 001; Taesung Park; Kyusang Lee (Int. J. Data Min. Bioinform., 2012)

Pathway based identification of rare mutation effect in cancer. - TaeJin Ahn; Taesung Park (BIBM, 2013)

Prediction of a time-to-event trait using genome wide SNP data. - Jinseog Kim; Insuk Sohn; Dae-Soon Son; Dong Hwan Kim; TaeJin Ahn; Sin-Ho Jung (BMC Bioinform., 2013)

Estimating cancer gene pathway proximity using network interaction. - Rama Srikanth Mallavarapu; TaeJin Ahn; Subhankar Mukherjee 001; Ajit S. Bopardikar; Garima Agarwal; Taesung Park (BIBM, 2014)

Personalized identification of altered pathways in cancer using accumulated normal tissue data. - TaeJin Ahn; Eunjin Lee; Nam Huh; Taesung Park (Bioinform., 2014)

Practical approach to determine sample size for building logistic prediction models using high-throughput data. - Dae-Soon Son; DongHyuk Lee; Kyusang Lee; Sin-Ho Jung; TaeJin Ahn; Eunjin Lee; Insuk Sohn; Jongsuk Chung; Woong-Yang Park; Nam Huh; Jae Won Lee (J. Biomed. Informatics, 2015)

Context based compression of FASTQ data. - Rama Srikanth Mallavarapu; Pandu Kumar Chinnamalliah; Ajit S. Bopardikar; TaeJin Ahn (ISCAS, 2016)

Estimating functional coupling between cancer gene sub-networks using novel interaction measures. - Rama Srikanth Mallavarapu; TaeJin Ahn; Subhankar Mukherjee 001; Ajit S. Bopardikar; Garima Agarwal; Taesung Park (Int. J. Data Min. Bioinform., 2016)

Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data. - TaeJin Ahn; Taewan Goo; Chanhee Lee; Sungmin Kim; Kyullhee Han; Sangick Park; Taesung Park (BIBM, 2018)

Gene expression based prediction of prognostic outcome in ovarian cancer. - TaeJin Ahn; Nayeon Kang; Yonggab Kim; Taesung Park (BIBM, 2018)

Predicting survival outcomes in ovarian cancer using gene expression data. - TaeJin Ahn; Nayeon Kang; Yonggab Kim; Se Ik Kim; Yongsang Song; Taesung Park (Int. J. Data Min. Bioinform., 2018)

Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. - TaeJin Ahn; Taewan Goo; Chanhee Lee; Sungmin Kim; Kyullhee Han; Sangick Park; Taesung Park (Int. J. Data Min. Bioinform., 2020)

Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. - Kyullhee Han; Hyeonjung Ham; Se Ik Kim; Yongsang Song; Taesung Park; TaeJin Ahn (Int. J. Data Min. Bioinform., 2020)