Aik Choon Tan

According to our database, Aik Choon Tan authored at least 27 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Epigenomic fingerprint of human cancers by landscape interrogation of super enhancers at the constituent level.

Xiang Liu, Nancy Gillis, Chang Jiang, Anthony McCofie, Timothy I. Shaw, Aik Choon Tan, Bo Zhao, Lixin Wan, Derek R. Duckett, Mingxiang Teng

PLoS Comput. Biol., February, 2024

2023

PATH-SURVEYOR: pathway level survival enquiry for immuno-oncology and drug repurposing.

Alyssa N. Obermayer, Darwin Chang, Gabrielle Nobles, Mingxiang Teng, Aik Choon Tan, Xuefeng Wang, Y. Ann Chen, Steven Eschrich, Paulo C. Rodriguez, G. Daniel Grass, Soheil Meshinchi, Ahmad Tarhini, Dung-tsa Chen, Timothy I. Shaw

BMC Bioinform., December, 2023

NuKit: A deep learning platform for fast nucleus segmentation of histopathological images.

Ching-Nung Lin, Christine H. Chung, Aik Choon Tan

J. Bioinform. Comput. Biol., February, 2023

Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference.

Ramin Homayouni, Prashanti Manda, Aik Choon Tan, Zhaohui S. Qin

Frontiers Big Data, January, 2023

2021

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge.

Zhaoping Xiong, Minji Jeon, Robert J. Allaway, Jaewoo Kang, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Hualiang Jiang, Mingyue Zheng, Aik Choon Tan, Xindi Guo, Multi-Targeting Drug DREAM Challenge Community, Kristen K. Dang, Alex Tropsha, Chana Hecht, Tirtha K. Das, Heather A. Carlson, Ruben Abagyan, Justin Guinney, Avner Schlessinger, Ross L. Cagan

PLoS Comput. Biol., 2021

Deep Learning of Histopathology Images at the Single Cell Level.

Kyubum Lee, John H. Lockhart, Mengyu Xie, Ritu Chaudhary, Robbert J. C. Slebos, Elsa R. Flores, Christine H. Chung, Aik Choon Tan

Frontiers Artif. Intell., 2021

TIMEx: tumor-immune microenvironment deconvolution web-portal for bulk transcriptomics using pan-cancer scRNA-seq signatures.

Mengyu Xie, Kyubum Lee, John H. Lockhart, Scott D. Cukras, Rodrigo Carvajal, Amer A. Beg, Elsa R. Flores, Mingxiang Teng, Christine H. Chung, Aik Choon Tan

Bioinform., 2021

2019

Exploring the molecular mechanisms of Traditional Chinese Medicine components using gene expression signatures and connectivity map.

Minjae Yoo, Jimin Shin, Hyunmin Kim, Jihye Kim, Jaewoo Kang, Aik Choon Tan

Comput. Methods Programs Biomed., 2019

ReSimNet: drug response similarity prediction using Siamese neural networks.

Minji Jeon, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Sunkyu Kim, Yonghwa Choi, Aik Choon Tan, Jaewoo Kang

Bioinform., 2019

2018

PAGER 2.0: an update to the pathway, annotated-list and gene-signature electronic repository for Human Network Biology.

Zongliang Yue, Qi Zheng, Michael T. Neylon, Minjae Yoo, Jimin Shin, Zhiying Zhao, Aik Choon Tan, Jake Y. Chen

Nucleic Acids Res., 2018

Deep learning of mutation-gene-drug relations from the literature.

Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Won-Ho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang

BMC Bioinform., 2018

GSEA-InContext: identifying novel and common patterns in expression experiments.

Rani K. Powers, Andrew Goodspeed, Harrison Pielke-Lombardo, Aik Choon Tan, James C. Costello

Bioinform., 2018

2016

IMPACT: a whole-exome sequencing analysis pipeline for integrating molecular profiles with actionable therapeutics in clinical samples.

Jennifer Hintzsche, Jihye Kim, Vinod Kumar Yadav, Carol Amato, Steven E. Robinson, Eric Seelenfreund, Yiqun Shellman, Joshua Wisell, Allison Applegate, Martin McCarter, Neil Box, John Tentler, Subhajyoti De, William A. Robinson, Aik Choon Tan

J. Am. Medical Informatics Assoc., 2016

HiPub: translating PubMed and PMC texts to networks for knowledge discovery.

Kyubum Lee, Won-Ho Shin, Byounggun Kim, Sunwon Lee, Yonghwa Choi, Sunkyu Kim, Minji Jeon, Aik Choon Tan, Jaewoo Kang

Bioinform., 2016

BRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations.

Kyubum Lee, Sunwon Lee, Sungjoon Park, Sunkyu Kim, Suhkyung Kim, Kwanghun Choi, Aik Choon Tan, Jaewoo Kang

Database J. Biol. Databases Curation, 2016

2015

Systems biology approaches for advancing the discovery of effective drug combinations.

Karen A. Ryall, Aik Choon Tan

J. Cheminformatics, 2015

DSigDB: drug signatures database for gene set analysis.

Minjae Yoo, Jimin Shin, Jihye Kim, Karen A. Ryall, Kyubum Lee, Sunwon Lee, Minji Jeon, Jaewoo Kang, Aik Choon Tan

Bioinform., 2015

Identifying kinase dependency in cancer cells by integrating high-throughput drug screening and kinase inhibition data.

Karen A. Ryall, Jimin Shin, Minjae Yoo, Trista K. Hinz, Jihye Kim, Jaewoo Kang, Lynn E. Heasley, Aik Choon Tan

Bioinform., 2015

2014

Bioinformatics-driven discovery of rational combination for overcoming EGFR-mutant lung cancer resistance to EGFR therapy.

Jihye Kim, Vihas T. Vasu, Rangnath Mishra, Katherine R. Singleton, Minjae Yoo, Sonia M. Leach, Eveline Farias-Hesson, Robert J. Mason, Jaewoo Kang, Preveen Ramamoorthy, Jeffrey A. Kern, Lynn E. Heasley, James H. Finigan, Aik Choon Tan

Bioinform., 2014

BEReX: Biomedical Entity-Relationship eXplorer.

Minji Jeon, Sunwon Lee, Kyubum Lee, Aik Choon Tan, Jaewoo Kang

Bioinform., 2014

2008

Merging microarray data from separate breast cancer studies provides a robust prognostic test.

Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald Geman

BMC Bioinform., 2008

Microarray Classification from Several Two-Gene Expression Comparisons.

Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel Q. Naiman

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2005

Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.

Lei Xu, Aik Choon Tan, Daniel Q. Naiman, Donald Geman, Raimond L. Winslow

Bioinform., 2005

Simple decision rules for classifying human cancers from gene expression profiles.

Aik Choon Tan, Daniel Q. Naiman, Lei Xu, Raimond L. Winslow, Donald Geman

Bioinform., 2005

2004

An Assessment of Feature Relevance in Predicting Protein Function from Sequence.

Ali Al-Shahib, Chao He, Aik Choon Tan, Mark A. Girolami, David R. Gilbert

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Integrative machine learning approach for multi-class SCOP protein fold classification.

Aik Choon Tan, David R. Gilbert, Yves Deville

Proceedings of the German Conference on Bioinformatics, 2003

An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics.

Aik Choon Tan, David R. Gilbert

Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003