activity
20192026
most citedProtein structure generation via folding diffusion

34 citations · 88 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays

Emre Hayir, Lorin Crawford, Alex X. Lu

Microscopy images contain rich information about how cells respond to perturbations, making them essential to applications like drug screening. To quantify images, researchers ofte…

cs.CV2023★ 14 cited

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Aashaka Desai, Lauren Berger, Fyodor O. Minakov +8

Sign languages are used as a primary language by approximately 70 million D/deaf people world-wide. However, most communication technologies operate in spoken and written languages…

cs.CV2023★ 3 cited

Domain adaptation using optimal transport for invariant learning using histopathology datasets

Kianoush Falahkheirkhah, Alex Lu, David Alvarez-Melis +1

Histopathology is critical for the diagnosis of many diseases, including cancer. These protocols typically require pathologists to manually evaluate slides under a microscope, whic…

q-bio.BM2022★ 34 cited

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg +3

The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable disease…

cs.CV2021★ 5 cited

CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning

Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses

Motivation: In recent years, image-based biological assays have steadily become high-throughput, sparking a need for fast automated methods to extract biologically-meaningful infor…

q-bio.BM2021★ 4 cited

Random Embeddings and Linear Regression can Predict Protein Function

Tianyu Lu, Alex X. Lu, Alan M. Moses

Large self-supervised models pretrained on millions of protein sequences have recently gained popularity in generating embeddings of protein sequences for protein function predicti…