D. Amaratunga

发表

Using Fisher's Method to Identify Enriched Gene Sets

Volha Tryputsen, Javier Cabrera, A. de Bondt, 2014 .

Analysis of Data From Viral DNA Microchips

Javier Cabrera, D. Amaratunga, 2001 .

DNA Microarrays of the Complex Human Cytomegalovirus Genome: Profiling Kinetic Class with Drug Sensitivity of Viral Gene Expression

P. A. Peterson, Hongqing Guo, A. Bittner, 1999, Journal of Virology.

Nanoliter high-throughput RT-qPCR: a statistical analysis and assessment.

S. Ilyin, D. Amaratunga, C. Brenan, 2009, BioTechniques.

Mining data to find subsets of high activity

Dhammika Amaratunga, Javier Cabrera, D. Amaratunga, 2004 .

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data (2nd edition).

Z. Shkedy, Javier Cabrera, D. Amaratunga, 2014 .

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

Z. Shkedy, Javier Cabrera, D. Amaratunga, 2014 .

Ensemble classiﬁers

Yung-Seop Lee, Javier Cabrera, D. Amaratunga, 2012 .

Gene expression Enriched random forests

Yung-Seop Lee, Javier Cabrera, D. Amaratunga, 2008 .

Uses and opportunities for machine learning in hypertension research

W. Kostis, J. Kostis, D. Amaratunga, 2020, International Journal of Cardiology. Hypertension.

In vivo oral efficacy of levofloxacin for treatment of systemic Pseudomonas aeruginosa infections in a murine model of septicemia

D. Amaratunga, J. Barrett, S. Yagel, 1996, Antimicrobial agents and chemotherapy.

High-Dimensional Data in Genomics

Dhammika Amaratunga, Javier Cabrera, Javier Cabrera, 2018 .

Genome‐wide copy number alterations detection in fresh frozen and matched FFPE samples using SNP 6.0 arrays

Hinrich W. H. Göhlmann, Willem Talloen, Tobias Verbeke, 2008, Genes, chromosomes & cancer.

Adjustment for Multiplicity

Ziv Shkedy, Dhammika Amaratunga, Daniel Yekutieli, 2012 .

Socio-economic impact on COVID-19 cases and deaths and its evolution in New Jersey

M. Katehakis, D. Amaratunga, Jin Wang, 2021, Annals of Operations Research.

The high-level similarity of some disparate gene expression measures

Hinrich W. H. Göhlmann, Willem Talloen, Nandini Raghavan, 2007, Bioinform..

Analysis of Pharmacokinetic Data

D. Amaratunga, H. Nguyen, 2001 .

CLASS PREDICTION IN TOXICOGENOMICS

Nandini Raghavan, Dhammika Amaratunga, Alex Y Nie, 2005, Journal of biopharmaceutical statistics.

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

Hinrich W. H. Göhlmann, Luc Bijnens, Willem Talloen, 2007, Bioinform..

3.05 – Microarrays

D. Amaratunga, 2007 .

Enriched random forests

Yung-Seop Lee, Dhammika Amaratunga, Javier Cabrera, 2008, Bioinform..

Review of New Statistical Techniques for Analysis of Cardiovascular Trial and Registry Data

Javier Cabrera, D. Amaratunga, 2015, Current Hypertension Reports.

A Linear Prediction Rule Based on Ensemble Classifiers for Non-Genotoxic Carcinogenicity

Nandini Raghavan, Dhammika Amaratunga, Michael McMillian, 2012 .

Survey and Recommendations on the Use of P-Values Driving Decisions in Nonclinical Pharmaceutical Applications

Steven J Novick, Steven J. Novick, Jeonifer M. Garren, 2022, Statistics in Biopharmaceutical Research.

On Methods for Gene Function Scoring as a Means of Facilitating the Interpretation of Microarray Results

Nandini Raghavan, Dhammika Amaratunga, Javier Cabrera, 2006, J. Comput. Biol..

ABC gene-ranking for prediction of drug-induced cholestasis in rats

N. Raghavan, D. Amaratunga, M. McMillian, 2016, Toxicology reports.

Release of (and lessons learned from mining) a pioneering large toxicogenomics database.

Dhammika Amaratunga, Komal S Sandhu, Vamsi Veeramachaneni, 2015, Pharmacogenomics.

Exploration and Analysis of DNA Microarray and Protein Array Data

Dhammika Amaratunga, Javier Cabrera, Javier Cabrera, 2003, Wiley series in probability and statistics.

Feature Selection With Weighted Importance Index in an Autism Spectrum Disorder Study

Andrew Skalkin, Nikolay V. Manyakov, Dhammika Amaratunga, 2019, Statistics in Biopharmaceutical Research.

Searching for the Right Sample Size

Dhammika Amaratunga, D. Amaratunga, 1999 .

Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach

Adetayo Kasim, Ziv Shkedy, Hinrich W. H. Göhlmann, 2010, Statistical applications in genetics and molecular biology.

Exploration and Analysis of DNA Microarray and Protein Array Data

Javier Cabrera, D. Amaratunga, 2003, Wiley series in probability and statistics.

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

Hinrich W. H. Göhlmann, Djork-Arné Clevert, W. Talloen, 2007, Bioinform..

Abstract 14147: The Non-Linear Relationship of Pulse Pressure to Mortality at the 22 year Follow-Up of the Systolic Hypertension in the Elderly Program

W. Kostis, F. Messerli, J. Kostis, 2015, Circulation.

Outlier Resistance, Standardization, and Modeling Issues for DNA Microarray Data

Dhammika Amaratunga, Javier Cabrera, D. Amaratunga, 2001 .

Filtering data from high-throughput experiments based on measurement reliability

Adetayo Kasim, Ziv Shkedy, Hinrich W. H. Göhlmann, 2010, Proceedings of the National Academy of Sciences.