Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Benchmarking algorithms for single-cell multi-omics prediction and integration
totalVI and scArches excelled in predicting protein abundance, while LS_Lab led in predicting chromatin accessibility. Seurat, MOJITOO, and scAI performed best in vertical integration, whereas totalVI and UINMF were superior in horizontal and mosaic integration.
Fairness preferences in young children vary depending on the gender composition of the group
A child's attitude to what is fair or not in a social interaction depends on their gender as well as the gender of the other child
Readout error mitigated quantum state tomography tested on superconducting qubits
Noise in quantum systems can negate any potential benefits they have over classical computers. Here, we explore how one can overcome the growing issue of readout errors in a superconducting qubit device.
Behind the paper: Untangling Zebrafish Genetic Annotation of TCOF1 and NOLC1
Our research journey began with an intriguing paradox: two genes, TCOF1 and NOLC1, critical for ribosomal RNA processing and nucleolar function, were confusingly annotated in zebrafish databases....
Predicting Health Timelines with Transformer
Our lives can be seen as a series of events unfolding over time, and this can be modeled using Transformers, an AI architecture that has been highly successful in large language models. In our npj Digital Medicine article we explore how they can be applied to personalized healthcare journeys.
Fat and liver health: the view from LXRalpha
Fat accumulation in the liver is a defining feature of metabolic dysfunction associated steatotic liver disease and reduction of liver triglyceride is a major therapeutic goal. We show that a key driver of lipogenesis called LXRalpha may actually protect the liver by lowering liver cholesterol.
Electrochemical CO2 Reduction to Methane by Triazole Molecules
Electrochemical conversion of CO2 into fuels and chemicals with high selectivity and activity is crucial. Our recent work highlights a promising method for CO2-to-CH4 with considerable selectivity and industrially relevant activity by triazole molecules in the presence of trace metal impurities.