This page contains the tools and software packages we have developed here at WangLab or previously at other institutions.
Please visit our GitHub page for our latest releases.
M3SDA: Moment Matching for Multi-Source Domain Adaptation
Transfer knowledge learned from multiple labeled source domains to an unlabeled target domain by dynamically aligning moments of their feature distributions.
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
SNF: Computational method for data integration
A new computational method for data integration.
, Aziz M Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg. Similarity network fusion for aggregating data types on a genomic scale. Nature Methods
SIMLR: Single-cell interpretation via multi-kernel learning
A novel similarity-learning framework for dimension reduction, clustering and visualization.
, Junjie Zhu, Emma Pierson, Serafim Batzoglou. Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning. Nature Methods
, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou. SIMLR: A Tool for Large‐Scale Genomic Analyses by Multi‐Kernel Learning. Proteomics
Vicus: Capturing neighborhood structures of the network
Exploiting local structures to improve network-based analysis of biological data.
, Lin Huang, Yuke Zhu, Anshul Kundaje, Serafim Batzoglou, Anna Goldenberg. Vicus: Exploiting local structures to improve network-based analysis of biological data. PLoS Computational Biology
Network Enhancement: Denoising weighted biological networks
A general method to denoise weighted biological networks.
, Armin Pourshafeie, Marinka Zitnik, Junjie Zhu, Carlos D Bustamante, Serafim Batzoglou, Jure Leskovec. Network Enhancement: a general method to denoise weighted biological networks. Nature Communications