Wei Wang
Affiliations:- University of California, San Diego, Department of Chemistry and Biochemistry, CA, USA
- University of California, San Diego, Department of Cellular and Molecular Medicine, CA, USA
According to our database1,
Wei Wang
authored at least 36 papers
between 2004 and 2023.
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Bibliography
2023
Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.
J. Chem. Inf. Model., August, 2023
Scalable Gaussian process regression enables accurate prediction of protein and small molecule properties with uncertainty quantitation.
CoRR, 2023
2022
Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression.
CoRR, 2022
2021
2020
Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression.
J. Chem. Inf. Model., 2020
2019
Biogenesis mechanisms of circular RNA can be categorized through feature extraction of a machine learning model.
Bioinform., 2019
2017
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific Data.
CoRR, 2017
2016
Bioinform., 2016
Computationally expanding infinium HumanMethylation450 BeadChip array data to reveal distinct DNA methylation patterns of rheumatoid arthritis.
Bioinform., 2016
2015
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics, 2015
Using Hierarchical Virtual Screening To Combat Drug Resistance of the HIV-1 Protease.
J. Chem. Inf. Model., 2015
Bioinform., 2015
2013
RFECS: A Random-Forest Based Algorithm for Enhancer Identification from Chromatin State.
PLoS Comput. Biol., 2013
Characterization of Small Molecule Binding. I. Accurate Identification of Strong Inhibitors in Virtual Screening.
J. Chem. Inf. Model., 2013
Characterizing Binding of Small Molecules. II. Evaluating the Potency of Small Molecules to Combat Resistance Based on Docking Structures.
J. Chem. Inf. Model., 2013
Ensemble classifier based on context specific miRNA regulation modules: a new method for cancer outcome prediction.
BMC Bioinform., 2013
Bioinform., 2013
2011
A Novel Knowledge-Driven Systems Biology Approach for Phenotype Prediction upon Genetic Intervention.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
PLoS Comput. Biol., 2011
Assessing the Performance of the MM/PBSA and MM/GBSA Methods. 1. The Accuracy of Binding Free Energy Calculations Based on Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2011
Assessing the performance of the molecular mechanics/Poisson Boltzmann surface area and molecular mechanics/generalized Born surface area methods. II. The accuracy of ranking poses generated from docking.
J. Comput. Chem., 2011
Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae.
BMC Syst. Biol., 2011
Prediction of peptides binding to the PKA RIIα subunit using a hierarchical strategy.
Bioinform., 2011
2010
Prediction of quantitative phenotypes based on genetic networks: a case study in yeast sporulation.
BMC Syst. Biol., 2010
A Novel Knowledge-driven Systems Biology Approach for Phenotype Prediction Upon Genetic Intervention.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
PLoS Comput. Biol., 2009
2008
ChromaSig: A Probabilistic Approach to Finding Common Chromatin Signatures in the Human Genome.
PLoS Comput. Biol., 2008
BMC Bioinform., 2008
GBNet: Deciphering regulatory rules in the co-regulated genes using a Gibbs sampler enhanced Bayesian network approach.
BMC Bioinform., 2008
2007
SIAM J. Comput., 2007
On the detection of functionally coherent groups of protein domains with an extension to protein annotation.
BMC Bioinform., 2007
BMC Bioinform., 2007
2006
Computational Analysis and Prediction of the Binding Motif and Protein Interacting Partners of the Abl SH3 Domain.
PLoS Comput. Biol., 2006
2004
A 2<sup>O(n<sup>1-(1/d)</sup>log n)</sup> Time Algorithm for d-Dimensional Protein Folding in the HP-Model.
Proceedings of the Automata, Languages and Programming: 31st International Colloquium, 2004