Search Results for author: Zichen Wang

Found 7 papers, 2 papers with code

Training self-supervised peptide sequence models on artificially chopped proteins

no code implementations9 Nov 2022 Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price

In this paper, we propose a new peptide data augmentation scheme, where we train peptide language models on artificially constructed peptides that are small contiguous subsets of longer, wild-type proteins; we refer to the training peptides as "chopped proteins".

Data Augmentation Language Modelling +2

Variational Causal Inference

no code implementations13 Sep 2022 Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis

Estimating an individual's potential outcomes under counterfactual treatments is a challenging task for traditional causal inference and supervised learning approaches when the outcome is high-dimensional (e. g. gene expressions, impulse responses, human faces) and covariates are relatively limited.

Causal Inference

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications

no code implementations17 Feb 2022 Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas

Image-based characterization and disease understanding involve integrative analysis of morphological, spatial, and topological information across biological scales.

Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

1 code implementation Bioinformatics, Volume 36, Issue Supplement_1 2020 Zichen Wang, Mu Zhou, Corey Arnold

Unlike conventional graph convolution networks always assuming the same node attributes in a global graph, our approach models interdomain information fusion with bipartite graph convolution operation.

Association Drug Discovery

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