A. Forrow and G. Schiebinger (2021). LineageOT is a unified framework for lineage tracing and trajectory inference. Nature Communications.
G. Schiebinger (2021). Reconstructing developmental landscapes and trajectories from single-cell data. Current Opinion in Systems Biology.
H. Lavenant, S. Zhang, Y.H. Kim and G. Schiebinger (2021). Towards a mathematical theory of trajectory inference. arXiv.
S. Zhang, A. Afanassiev, L. Greenstreet, T. Matsumoto, G. Schiebinger (2021). Optimal transport analysis reveals trajectories in steady-state systems. bioRxiv.
H Li, J Ezike, A Afanassiev, L Greenstreet, S Zhang, J Whangbo, V L. Butty, E Moiso, GG Connelly, V Morris, D Wang, GQ Daley, S Garg, ST Chou, A Regev, E Lummertz da Rocha, G Schiebinger, RG Rowe (2021). Hematopoiesis at single cell resolution spanning human development and maturation. bioRxiv.
AJ Massri, L Greenstreet, A Afanassiev, A Berrio Escobar, GM Wray, G Schiebinger, DR McClay (2021). Developmental Single-cell transcriptomics in the Lytechinus variegatus 1 Sea Urchin Embryo. Development.
AJ. Massri, G Schiebinger, A Berrio, L Wang, G Wray, D McClay (2020). Methodologies for Following EMT In Vivo at Single Cell Resolution. The Epithelial-to Mesenchymal Transition (chapter in book).
G. Schiebinger*, J. Shu*, M. Tabaka*, B. Cleary*, V. Subramanian, J. Gould, A. Solomon, S. Liu, S. Lin, P. Berube, L. Lee, J. Chen, J. Brumbaugh, P. Rigollet, K. Hochedlinger, R. Jaenisch, A. Regev and E. Lander (2019). Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming. Cell. (bioRxiv version posted 2017).
N. Boyd, G. Schiebinger and B. Recht (2017). The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems. SIAM Journal on Optimization. Our code is available here.
G. Schiebinger, E. Robeva and B. Recht (2017). Superresolution without Separation. Information and Inference, Oxford University Press.
G. Schiebinger, M. J. Wainwright and B. Yu (2015). The Geometry of Kernelized Spectral Clustering. Annals of Statistics. vol. 43, no. 2, pages 819-846.
A. Guntuboyina, S. Saha and G. Schiebinger (2014). Sharp Inequalities for f-divergences. IEEE Transactions on Information Theory. vol. 60, pages 104-121.
L. A. Warren, D. J. Rossi, G. Schiebinger, I. L. Weissman, S. K. Kim and S. R. Quake (2007). Transcriptional instability is not a universal attribute of aging. Aging Cell. vol. 6, pages 775-782.
A. Forrow, J.C. Hutter, M. Nitzan, P. Rigollet, G. Schiebinger, and J. Weed. Statistical Optimal Transport via Factored Couplings. AISTATS 2019.
M.E. Shiffman, W. Stephenson, G. Schiebinger, T. Campbell, J. Huggins, A. Regev, and T. Broderick. (2017). Probabilistic reconstruction of cellular differentiation trees from single-cell RNA-seq data. NIPS Workshop on Bayesian Computation.
A short version of Superresolution without Separation appeared in CAMSAP 2015. (full version published in journal, see above).
A short version of The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems appeared in CAMSAP 2015. (full version published in journal, see above).