Amanda C. Schierz

According to our database, Amanda C. Schierz authored at least 11 papers between 2009 and 2016.

Collaborative distances:

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

2016

canSAR: an updated cancer research and drug discovery knowledgebase.

Joseph E. Tym, Costas Mitsopoulos, Elizabeth A. Coker, Parisa Razaz, Amanda C. Schierz, Albert A. Antolin, Bissan Al-Lazikani

Nucleic Acids Res., 2016

2015

Distinctive Behaviors of Druggable Proteins in Cellular Networks.

Costas Mitsopoulos, Amanda C. Schierz, Paul Workman, Bissan Al-Lazikani

PLoS Comput. Biol., 2015

2014

canSAR: updated cancer research and drug discovery knowledgebase.

Krishna C. Bulusu, Joseph E. Tym, Elizabeth A. Coker, Amanda C. Schierz, Bissan Al-Lazikani

Nucleic Acids Res., 2014

Customer profile classification: To adapt classifiers or to relabel customer profiles?

Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz

Neurocomputing, 2014

2011

PubChem Bioassay Data.

Amanda C. Schierz

Dataset, March, 2011

Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data.

Dong-Ling Tong, Amanda C. Schierz

Artif. Intell. Medicine, 2011

Customer profile classification using transactional data.

Edward Tersoo Apeh, Bogdan Gabrys, Amanda C. Schierz

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

High-Performance Music Information Retrieval System for Song Genre Classification.

Amanda C. Schierz, Marcin Budka

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

2010

Inductive Queries for a Drug Designing Robot Scientist.

Ross D. King, Amanda C. Schierz, Amanda Clare, Jem J. Rowland, Andrew Sparkes, Siegfried Nijssen, Jan Ramon

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Virtual screening of bioassay data.

Amanda C. Schierz

J. Cheminformatics, 2009

Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds.

Amanda C. Schierz, Ross D. King

Proceedings of the Pattern Recognition in Bioinformatics, 2009