Chao Sima

According to our database, Chao Sima authored at least 24 papers between 2005 and 2022.

Collaborative distances:

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

2022

In Silico Modeling of the Induction of Apoptosis by Cryptotanshinone in Osteosarcoma Cell Lines.

Radhika Saraf, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael L. Bittner, Tasha Miller, Heather M. Wilson-Robles

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2020

Cryptotanshinone Induces Cell Death in Lung Cancer by Targeting Aberrant Feedback Loops.

Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jainping Hua, Rosana Lopes, Michael L. Bittner

IEEE J. Biomed. Health Informatics, 2020

In Silico Design and Experimental Validation of Combination Therapy for Pancreatic Cancer.

Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael L. Bittner

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A Gaussian Mixture-Model Exploiting Pathway Knowledge for Dissecting Cancer Heterogeneity.

Rajan Kapoor, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael L. Bittner

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

Bayesian Inference Identifies Combination Therapeutic Targets in Breast Cancer.

Haswanth Vundavilli, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael L. Bittner

IEEE Trans. Biomed. Eng., 2019

Trend Predicting of Distribution Network Operation States Based on PMU.

Zhixiong Shi, Shuxin Tian, Chao Sima, Kunpeng Li, Pengchen Nie, Ran Chen, Xiangjing Su, Shurong Wei, Yang Fu

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

2018

A Bayesian approach to determine the composition of heterogeneous cancer tissue.

Ashish Katiyar, Anwoy Kumar Mohanty, Jianping Hua, Chao Sima, Rosana Lopes, Aniruddha Datta, Michael L. Bittner

BMC Bioinform., 2018

2016

Detecting Cell Growth and Drug Response in Heterogeneous Populations: A Dynamic Imaging Approach.

Chao Sima, Jianping Hua, Rosana Lopes, Aniruddha Datta, Michael L. Bittner

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2014

Unbiased bootstrap error estimation for linear discriminant analysis.

Thang T. Vu, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty

EURASIP J. Bioinform. Syst. Biol., 2014

2013

Relationship between the accuracy of classifier error estimation and complexity of decision boundary.

Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty

Pattern Recognit., 2013

2011

High-dimensional bolstered error estimation.

Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty

Bioinform., 2011

Relationship between the accuracy of classifier error estimation and distribution complexity.

Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

2010

Reporting bias when using real data sets to analyze classification performance.

Mohammadmahdi R. Yousefi, Jianping Hua, Chao Sima, Edward R. Dougherty

Bioinform., 2010

Small-sample precision of ROC-related estimates.

Blaise Hanczar, Jianping Hua, Chao Sima, John N. Weinstein, Michael L. Bittner, Edward R. Dougherty

Bioinform., 2010

Effects of partial reporting of classification results.

Mohammadmahdi R. Yousefi, Jianping Hua, Chao Sima, Edward R. Dougherty

Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

2009

Bolstered error estimator with feature selection.

Chao Sima, Thang T. Vu, Ulisses M. Braga-Neto, Edward R. Dougherty

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008

The peaking phenomenon in the presence of feature-selection.

Chao Sima, Edward R. Dougherty

Pattern Recognit. Lett., 2008

2007

Small sample feature selection.

Chao Sima

PhD thesis, 2007

Model-based evaluation of clustering validation measures.

Marcel Brun, Chao Sima, Jianping Hua, James Lowey, Brent Carroll, Edward Suh, Edward R. Dougherty

Pattern Recognit., 2007

2006

Optimal convex error estimators for classification.

Chao Sima, Edward R. Dougherty

Pattern Recognit., 2006

What should be expected from feature selection in small-sample settings.

Chao Sima, Edward R. Dougherty

Bioinform., 2006

2005

Research issues in genomic signal processing.

Edward R. Dougherty, Aniruddha Datta, Chao Sima

IEEE Signal Process. Mag., 2005

Impact of error estimation on feature selection.

Chao Sima, Sanju Attoor, Ulisses M. Braga-Neto, James Lowey, Edward Suh, Edward R. Dougherty

Pattern Recognit., 2005

Superior feature-set ranking for small samples using bolstered error estimation.

Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty

Bioinform., 2005