Drs. Daifeng Wang and Tianyuan Lu, and their students, along with Wang Lab alumnus Jerome Choi, PhD, developed a new machine learning algorithm called COSIME, which was published in Nature Machine Intelligence. The manuscript is …
Publication
Qiongshi Lu and team propose a statistical method to guarantee the reliability of AI-assisted GWAS
Associate Professor Qiongshi Lu and colleagues were highlighted in a Nature Genetics article for their work on the perils of relying on AI to predict complex traits and disease risks with genome-wide association study (GWAS) data, …
Miao and Lu – First and Last Author Paper in Nature Genetics
Congratulations to Jiancheng Miao (1st author) and Qiongshi Lu (last author) for a paper published online September 30 in Nature Genetics. The paper, titled “Valid inference for machine learning-assisted genome-wide association studies” offers a robust …
Roy – Computational Approach to Uncovering Gene Networks of Cell Fate
Nature Communications published a paper by BMI Professor and WID Investigator Sushmita Roy and graduate student Shilu Zhang that describes a computational tool called scMTNI, which will allow researchers to construct a more precise view …
Roy lab contributes to understanding early spinal cord development
Associate Professor Sushmita Roy and her lab are part of a team at the Stem Cell and Regenerative Medicine Center that is developing ways to turn stem cells into specific types of spinal cord neurons …
Elicieri wins highly cited researcher award for second time
Kevin Elicieri, PhD, BMI affiliate, is one of 11 UW-Madison researchers to win a highly cited researcher award from the Institute for Scientific Information. This is his second appearance on this list. The 2021 award …
Bayes Meets Markov – Oophorectomy and Age at Hysterectomy
BMI’s biostatistical consulting team supported the initial work that led to a May 2022 publication in the journal Obstetrics & Gynecology titled “A Revised Markov Model Evaluating Oophorectomy at the Time of Hysterectomy for Benign …