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Machine learning in cell identity, fate decision, and lineage prediction

Multi-omics and single-cell omics approaches are transforming our understanding of stem cell-based regeneration of tissues and organs on the individual cell level. By generating and more...

Supervisor(s): Yang, Pengyi (Dr)

Reconstruct trans-regulatory networks using multi-omics profiling and data integration

A major initiative in our group is to integrate trans-omics datasets generated by a state‐of‐the‐art mass spectrometer (MS) and next-generation sequencer (NGS) from various ce more...

Supervisor(s): Yang, Pengyi (Dr)

LSTM-GANs: Generation and Missing Value Imputation for Time Series Multi-omic Data

Biological processes are often dynamic, and thus researchers often monitor their activity at multiple time points. The most abundant source of information regarding such dynamic act more...

Supervisor(s): Yang, Pengyi (Dr)

Geometric analysis of transcendental solutions of nonlinear systems

Modern science derives its power from mathematics. The project aims to capture, identify and describe pivotal, transcendental solutions of nonlinear systems that are universal in sc more...

Supervisor(s): Joshi, Nalini (Professor), Radnovic, Milena (Dr)