14 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CE2024
Assessing and Enhancing Large Language Models in Rare Disease Question-answering
Guanchu Wang, Junhao Ran, Ruixiang Tang +6
Despite the impressive capabilities of Large Language Models (LLMs) in general medical domains, questions remain about their performance in diagnosing rare diseases. To answer this…
math.ST2014★ 14 cited
A General Framework for Mixed Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +3
"Mixed Data" comprising a large number of heterogeneous variables (e.g. count, binary, continuous, skewed continuous, among other data types) are prevalent in varied areas such as…
stat.AP2012
A Log-Linear Graphical Model for Inferring Genetic Networks from High-Throughput Sequencing Data
Genevera I. Allen, Zhandong Liu
Gaussian graphical models are often used to infer gene networks based on microarray expression data. Many scientists, however, have begun using high-throughput sequencing technolog…