output
20062024
most citedInitial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments

179 citations

researchers with a paper here
collaborating institutions

11 papers

cs.CL2024

Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?

Hossein Salami, Brandye Smith-Goettler, Vijay Yadav

General purpose Large Language Models (LLM) such as the Generative Pretrained Transformer (GPT) and Large Language Model Meta AI (LLaMA) have attracted much attention in recent yea…

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.LG2022

Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records

Lin Lee Cheong, Tesfagabir Meharizghi, Wynona Black +2

Recent advances in deep learning have led to interest in training deep learning models on longitudinal healthcare records to predict a range of medical events, with models demonstr…

cs.HC2022★ 21 cited

Using HCI in Cross-Disciplinary Teams: A Case Study of Academic Collaboration in HCI-Health Teams in the US Using a Team Science Perspective

Elena Agapie, Shefali Haldar, Sharmaine Galvez Poblete

Human-centered computing research has been increasingly applied to address important challenges in the health domain. Conducting research in cross-disciplinary teams can come with…

q-bio.OT2022★ 179 cited

Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments

Laurent Gatto, Ruedi Aebersold, Juergen Cox +18

Analyzing proteins from single cells by tandem mass spectrometry (MS) has become technically feasible. While such analysis has the potential to accurately quantify thousands of pro…

q-bio.MN2021

Exact Probability Landscapes of Stochastic Phenotype Switching in Feed-Forward Loops: Phase Diagrams of Multimodality

Anna Terebus, Farid Manuchehrfar, Youfang Cao +1

Feed-forward loops (FFLs) are among the most ubiquitously found motifs of reaction networks in nature. However, little is known about their stochastic behavior and the variety of n…