4 papers
Scalable Batch Correction for Cell Painting via Batch-Dependent Kernels and Adaptive Sampling
Aditya Narayan Ravi, Snehal Vadvalkar, Abhishek Pandey +1
Cell Painting is a microscopy-based, high-content imaging assay that produces rich morphological profiles of cells and can support drug discovery by quantifying cellular responses…
Spatially-Coupled Network RNA Velocities: A Control-Theoretic Perspective
Boya Hou, Maxim Raginsky, Abhishek Pandey +1
RNA velocity is an important model that combines cellular spliced and unspliced RNA counts to infer dynamical properties of various regulatory functions. Despite its wide applicabi…
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu, Yu-Hsiang Wang, Vishal Rana +3
We introduce a new graph diffusion model for small molecule generation, DMol, which outperforms the state-of-the-art DiGress model in terms of validity by roughly 1.5% across all b…
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL
Kevin Ta, Patrick Foley, Mattson Thieme +2
Generating unique molecules with biochemically desired properties to serve as viable drug candidates is a difficult task that requires specialized domain expertise. In recent years…