Jeremy Bigness, Xavi Loinaz, Shalin Patel, Erica Larschan, and R. Singh. “Integrating long-range regulatory interactions to predict gene expression using graph convolutional networks“. [Talk][Code]
Giancarlo Bonora, Vijay Ramani, R. Singh, He Fang, Dana Jackson, Sanjay Srivatsan, Ruolan Qiu, Choli Lee, Cole Trapnell, Jay Shendure, Zhijun Duan, Xinxian Deng, William S. Noble, and Christine M. Disteche. “Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation“.
Jacob Schreiber and R.Singh. “Machine learning for profile prediction in genomics”, Current Opinion in Chemical Biology. 2021
Ashley Mae Conard, Nathaniel Goodman, Yanhui Hu, Norbert Perrimon, R. Singh, Charles Lawrence, and Erica Larschan. “TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data“, Nucleic Acids Research. 2021
Pinar Demetci*, Rebecca Santorella*, Björn Sandstede, William S. Noble, and R. Singh. “Gromov-Wasserstein optimal transport to align single-cell multi-omics data.” , International Conference on Research in Computational Molecular Biology (RECOMB). 2021
Camillo Saueressig, Adam Berkley, Ellliot Kang, Reshma Munbodh†, and R. Singh†. “Exploring graph-based neural networks for automatic brain tumor segmentation.”, From Data to Models and Back, Lecture Notes in Computer Science (LNCS, Springer).
R. Singh, Pinar Demetci, Giancarlo Bonora, Vijay Ramani, Choli Lee, He Fang, Zhijun Duan, Xinxian Deng, Jay Shendure, Christine Disteche, and William S. Noble. “Unsupervised manifold alignment for single-cell multi-omics data“, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB)
Jacob Schreiber, R.Singh, Jeffrey Bilmes and William S. Noble. “A pitfall for machine learning methods aiming to predict across cell types“, Genome Biology
Derek Blakely, Eamon Collins, R. Singh, Andrew Norton, Jack Lanchantin, and Yanjun Qi. “FastSK: Fast Sequence Analysis with Gapped String Kernels“, Bioinformatics (presented at the European Conference on Computational Biology (ECCB)) [Code]
* Equal Contribution
† Co-corresponding Authors