Vladimir Shitov
@shitovhappens.bsky.social
Computational biologist, data scientist, PhD candidate @ Lücken lab, Helmholtz Munich
How to learn gene regulation patterns from multimodal single-cell data? To answer this question, we at OpenProblems organised the Kaggle competition on modality prediction. It ran back in 2022 but still remains the world's largest competition in the single-cell field. 1/17
When applying machine learning to human health data, it is not enough to just improve a metric by another percent. We have to go deeper. In our perspective in Nature Cell Biology, we discuss caveats and biases of human single-cell data analysis: nature.com/articles/s41... 🧵 1/10
Biases in machine-learning models of human single-cell data - Nature Cell Biology
This Perspective discusses the various biases that can emerge along the pipeline of machine learning-based single-cell analysis and presents methods to train models on human single-cell data in order ...
nature.com
How do biases affect machine-learning models of human single-cell data? And what can we do about it? In our new Perspective article, "Biases in machine-learning models of human single-cell data," published in Nature Cell Biology, we explore these pressing questions. 👉🏻 www.nature.com/articles/s41...
15 open PhD positions, including the one in our lab. The direction is precision medicine in COPD and Asthma using single-cell genomics and machine learning. Travelling across Europe and to Australia is included! www.respire-excel.eu/vacancies #PhD #jobs
VACANCIES | RESPIRE-EXCEL
"Join RESPIRE-EXCEL to revolutionize asthma and COPD treatment with precision medicine. We seek 15 PhD students for research and internships across Europe and the UK. Gain interdisciplinary skills and...
respire-excel.eu
