Bo Wang

发表

The promise of machine learning applications in solid organ transplantation

A. Goldenberg, H. Cardinal, A. Orchanian‐Cheff, 2022, npj Digital Medicine.

Similarity network fusion for aggregating data types on a genomic scale

Zhuowen Tu, Bo Wang, Michael Brudno, 2014, Nature Methods.

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Roded Sharan, Jure Leskovec, Marinka Zitnik, 2019, Front. Genet..

Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review

J. Reimand, Wei Xu, R. Grant, 2022, HPB.

Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review

Anna Goldenberg, Bo Wang, Ashley Spann, 2020, Hepatology.

CongFu: Conditional Graph Fusion for Drug Synergy Prediction

Bo Wang, Oleksii Tsepa, Bohdan Naida, 2023, ArXiv.

GraphComm: A Graph-based Deep Learning Method to Predict Cell-Cell Communication in single-cell RNAseq data

Benjamin Haibe-Kains, Sikander Hayat, S. Nair, 2023, bioRxiv.

Reusability Report: Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

Benjamin Haibe-Kains, Feng Yu, Bo Wang, 2023, bioRxiv.

Similarity network fusion for aggregating data types on a genomic scale

Z. Tu, A. Goldenberg, M. Fiume, 2014, Nature Methods.

GraphComm: A Graph-based Deep Learning Method to Predict Cell-Cell Communication in single-cell RNAseq data

Benjamin Haibe-Kains, Sikander Hayat, S. Nair, 2023, bioRxiv.