Kun Huang

Michael F. Sharpnack, K. Coombes, J. Sharpnack, 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Normalized lmQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers

Kun Huang, Jie Zhang, Jie Zhang, 2014, Cancer informatics.

High‐Performance Computing In High‐Throughput Sequencing

Ümit V. Çatalyürek, Kun Huang, Kamer Kaya, 2013 .

Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability

Yang Xiang, Kun Huang, Jie Zhang, 2012, PLoS Comput. Biol..

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Cun-Quan Zhang, Kun Huang, Yang Xiang, 2012, BMC Bioinformatics.

iGPSe: A visual analytic system for integrative genomic based cancer patient stratification

Chao Wang, Raghu Machiraju, Hao Ding, 2014, BMC Bioinformatics.

Integrative cancer patient stratification via subspace merging

Chao Wang, Raghu Machiraju, Hao Ding, 2018, Bioinform..

Computational Challenges and Solutions to the Analysis of Micro RNA Profiles in Virally-Infected Cells Derived by Massively Parallel Sequencing

Kun Huang, T. Meulia, T. Joobeur, 2009, 2009 Ohio Collaborative Conference on Bioinformatics.

PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics

Raghu Machiraju, Kun Huang, Parag Mallick, 2019, PSB.

Visualizing Multidimensional Data with Glyph SPLOMs

Raghu Machiraju, Kun Huang, Amy Webb, 2014, Comput. Graph. Forum.

Canonical and Atypical E2Fs Regulate the Mammalian Endocycle

R. Machiraju, V. Jin, Kun Huang, 2012, Nature Cell Biology.

MICA: MicroRNA integration for active module discovery

Kun Huang, Ümit V. Çatalyürek, Jeffrey D. Parvin, 2015, BCB.

Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis

Yang Xiang, Ruoming Jin, Kun Huang, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types

Raghu Machiraju, Nan Meng, Kun Huang, 2016, BMC Bioinformatics.

JNK3 Perpetuates Metabolic Stress Induced by Aβ Peptides

M. Tuszynski, Kun Huang, R. Nelson, 2012, Neuron.

Intelligent biology and medicine in 2015: advancing interdisciplinary education, collaboration, and data science

Yufei Huang, Zhongming Zhao, Jianhua Ruan, 2016, BMC Genomics.

A dynamic time order network for time-series gene expression data analysis

Yang Xiang, Yunlong Liu, Kenneth P. Nephew, 2012, BMC Systems Biology.

Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images

Raghu Machiraju, Thierry Pécot, Enrico Caserta, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Microscopy image analysis algorithms for biological microstructure characterization

Raghu Machiraju, Kun Huang, Kishore R. Mosaliganti, 2008 .

Capturing variations in nuclear phenotypes

Jens Rittscher, Raghu Machiraju, Sundaresan Raman, 2019, J. Comput. Sci..

Non-parametric Population Analysis of Cellular Phenotypes

Jens Rittscher, Raghu Machiraju, Thierry Pécot, 2011, MICCAI.

k-Neighborhood decentralization: A comprehensive solution to index the UMLS for large scale knowledge discovery

Yang Xiang, Kun Huang, Stephen L. James, 2012, J. Biomed. Informatics.

Multi-dimensional discovery of biomarker and phenotype complexes

Kun Huang, Abhisek Kundu, Philip R. O. Payne, 2010, BMC Bioinformatics.

Comparing Multiple Chip-Sequencing Experiments

Tim Hui-Ming Huang, Kun Huang, Jeffrey D. Parvin, 2011, J. Bioinform. Comput. Biol..

Canonical and atypical E2Fs regulate the mammalian

R. Machiraju, V. Jin, Kun Huang, 2012 .

Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles

Raghu Machiraju, Kun Huang, Chaitanya Kulkarni, 2018, PSB.

Dual-mode quantitative imaging of wound tissue oxygenation and perfusion

Jeff S. Xu, Jiwei Huang, Ronald X. Xu, 2010, BiOS.

Supporting Large Scale Medical and Scientific Datasets

Tony Pan, Xi Zhang, Joel H. Saltz, 2005, PARCO.

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes

Yang Xiang, Kun Huang, Philip R. O. Payne, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of a Breast Cancer Associated Regulatory Network

Ümit V. Çatalyürek, J. Parvin, Kun Huang, 2009, 2009 Ohio Collaborative Conference on Bioinformatics.

Tensor classification of N-point correlation function features for histology tissue segmentation

Joel H. Saltz, Raghu Machiraju, Gustavo Leone, 2009, Medical Image Anal..

Chromatin modification by SUMO-1 stimulates the promoters of translation machinery genes

Kun Huang, Jie Zhang, Jeffrey D. Parvin, 2012, Nucleic acids research.

Image Segmentation with Tensor – Based Classification of N – Point Correlation Functions

Raghu Machiraju, Kun Huang, M. Okan Irfanoglu, 2006 .

From Sequencer to Supercomputer: An Automatic Pipeline for Managing and Processing Next Generation Sequencing Data

Pearlly Yan, Terry Camerlengo, Kun Huang, 2012, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks

Raghu Machiraju, Cheryl Newton, Kun Huang, 2017, BMC Medical Informatics and Decision Making.

Predictive Modeling for Pressure Ulcers from Intensive Care Unit Electronic Health Records

Raghu Machiraju, Cheryl Newton, Kun Huang, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Detecting cellular events in brain cortex using time-lapse microscopy

Liya Ding, Kun Huang, Song-Hai Shi, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Transcriptome regulation and chromatin occupancy by E2F3 and MYC in mice

J. Pipas, Kun Huang, Qianben Wang, 2016, Scientific Data.

Spatial Segmentation of Temporal Texture Using Mixture Linear Models

Jun Liu, Lee A. D. Cooper, Kun Huang, 2006, WDV.

2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain

Gabriel Zachmann, Raghu Machiraju, Kun Huang, 2014, IEEE Computer Graphics and Applications.

Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis

Jun Kong, Metin Nafi Gürcan, Lee A. D. Cooper, 2009, Comput. Methods Programs Biomed..

High performance image analysis for large histological datasets

Bradley D. Clymer, Lee Cooper, Kun Huang, 2009 .

Open Data for Discovery Science

Kun Huang, Nigam H. Shah, Philip R. O. Payne, 2017, PSB.

Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging

Stephen T. C. Wong, Xiaoyin Xu, Raghu Machiraju, 2009, Medical Image Anal..

Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types

R. Machiraju, Kun Huang, Nan Meng, 2016, BMC Bioinformatics.

Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues

Raghu Machiraju, Nan Meng, Kun Huang, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery

Yang Xiang, David Fuhry, Ruoming Jin, 2012, PAKDD.

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Yang Xiang, Cun-Quan Zhang, Kun Huang, 2012, BMC Bioinformatics.

A Sparsification Approach for Temporal Graphical Model Decomposition

Ruoming Jin, Kun Huang, Victor E. Lee, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Network Backbone Discovery Using Edge Clustering pdf

Ruoming Jin, Kun Huang, Ning Ruan, 2012, ArXiv.

Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations

Hai Su, Chao Wang, Lin Yang, 2016, PSB.

Mining massive SNP data for identifying associated SNPs and uncovering gene relationships

Aaron Albin, Yang Xiang, Lang Li, 2014, BCB.

Intelligent biology and medicine in 2015: advancing interdisciplinary education, collaboration, and data science

Yufei Huang, Lang Li, Jianhua Ruan, 2016, BMC Genomics.

Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data

Yi Wang, Kun Huang, Gagan Agrawal, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

Precision Medicine: What Challenges Are We Facing?

Kai Ye, Jun Yu, Yu Xue, 2016, Genom. Proteom. Bioinform..

Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs

Manuel Ujaldon, Lee A. D. Cooper, Kun Huang, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.