Mateusz Maciejewski

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 5

Top Topics

Protein Sequences

Experimental Designs

Correct Classification

Machine Learning Approaches

Top Venues

J. Chem. Inf. Model.

J. Comput. Chem.

Publications

Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinform. 21 (1) (2020)
Lichy Han, Mateusz Maciejewski, Christoph Brockel, William Gordon, Scott B. Snapper, Joshua R. Korzenik, Lovisa Afzelius, Russ B. Altman
A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease. Bioinform. 34 (6) (2018)
Kazi Yasin Helal, Mateusz Maciejewski, Elisabet Gregori-Puigjané, Meir Glick, Anne Mai Wassermann
Public Domain HTS Fingerprints: Design and Evaluation of Compound Bioactivity Profiles from PubChem's Bioassay Repository. J. Chem. Inf. Model. 56 (2) (2016)
Gennaro Infante, Mateusz Maciejewski
Multiple positive solutions of parabolic systems with nonlinear, nonlocal initial conditions. J. Lond. Math. Soc. 94 (3) (2016)
Anna Kobusinska, Jerzy Brzezinski, Michal Boron, Lukasz Inatlewski, Michal Jabczynski, Mateusz Maciejewski
A branch hash function as a method of message synchronization in anonymous P2P conversations. Int. J. Appl. Math. Comput. Sci. 26 (2) (2016)
Mateusz Maciejewski, Anne Mai Wassermann, Meir Glick, Eugen Lounkine
Experimental Design Strategy: Weak Reinforcement Leads to Increased Hit Rates and Enhanced Chemical Diversity. J. Chem. Inf. Model. 55 (5) (2015)
Mateusz Maciejewski, Paul N. Barlow, Nico Tjandra
Decoding the components of dynamics in three-domain proteins. J. Comput. Chem. 35 (7) (2014)