BiC: a web server for calculating bimodality of coexpression between gene and protein networks. - George C. Linderman; Vishal N. Patel; Mark R. Chance; Gürkan Bebek (Bioinform., 2011)

MAGNET: MicroArray Gene expression and Network Evaluation Toolkit. - George C. Linderman; Mark R. Chance; Gürkan Bebek (Nucleic Acids Res., 2012)

3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search. - Zhao Wang 003; Michael W. Jenkins; George C. Linderman; Hiram G. Bezerra; Yusuke Fujino; Marco A. Costa; David L. Wilson; Andrew M. Rollins (IEEE Trans. Medical Imaging, 2015)

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science. - George C. Linderman; Gal Mishne; Yuval Kluger; Stefan Steinerberger (CoRR, 2017)

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding. - George C. Linderman; Manas Rachh; Jeremy G. Hoskins; Stefan Steinerberger; Yuval Kluger (CoRR, 2017)

Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis. - Huamin Li; George C. Linderman; Arthur Szlam; Kelly P. Stanton; Yuval Kluger; Mark Tygert (ACM Trans. Math. Softw., 2017)

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations. - Dmitry Kobak; George C. Linderman; Stefan Steinerberger; Yuval Kluger; Philipp Berens (ECML/PKDD (1), 2019)

Clustering with t-SNE, Provably. - George C. Linderman; Stefan Steinerberger (SIAM J. Math. Data Sci., 2019)

Randomized near-neighbor graphs, giant components and applications in data science. - Ariel Jaffe; Yuval Kluger; George C. Linderman; Gal Mishne; Stefan Steinerberger (J. Appl. Probab., 2020)

Numerical integration on graphs: Where to sample and how to weigh. - George C. Linderman; Stefan Steinerberger (Math. Comput., 2020)

Dimensionality Reduction via Dynamical Systems: The Case of t-SNE. - George C. Linderman; Stefan Steinerberger (SIAM Rev., 2022)