6월 4주차

1. Multiplying insights from perturbation experiments: predicting new perturbation combinations | Molecular Systems Biology (embopress.org)
2. A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks | Molecular Systems Biology (embopress.org)
3. Single‐cell biology: what does the future hold? | Molecular Systems Biology (embopress.org)
4. Transcription factor expression is the main determinant of variability in gene co‐activity | Molecular Systems Biology (embopress.org)
5. Mapping interindividual dynamics of innate immune response at single-cell resolution | Nature Genetics
6. Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes | Nature Genetics
7. DNA hypomethylation silences anti-tumor immune genes in early prostate cancer and CTCs: Cell
8. Predicting anti-cancer drug combination responses with a temporal cell state network model | PLOS Computational Biology
9. Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients | PLOS Computational Biology
10. Structure learning for gene regulatory networks | PLOS Computational Biology
11. Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning | Bioinformatics | Oxford Academic (oup.com)