We introduce a new context-enriched, multimodal time series forecasting benchmark, TimesX. TimesX contains a wide selection of high-quality real-world time series with diverse domains and textual contexts obtained from an automated data generation pipeline, which helps address three main issues of existing multimodal forecasting benchmarks: (1) poor generalization due to the small scale and synthetic nature of benchmark data, (2) very limited types of textual contexts in the benchmarks, and (3) an inability to mitigate data leakage in evaluation. We conduct a thorough empirical study of zero-shot multimodal forecasting approaches on TimesX. Our results suggest that many approaches that perform well on existing benchmarks may fail on TimesX. In contrast, simple ensemble methods that leverage rich textual context accompanying time-series can outperform strong baselines on TimesX.
Haoxin Liu, Yichen Zhou, Rajat Sen et al.· 4 citations
The first pooled, genome-wide CRISPR-Cas9 knockout (KO) screen with authentic HBV infection is performed and these results are integrated with two orthogonal pooled screens to identify host factors to expand the catalog of HBV host factors and provide a scalable framework for host target discovery.
C. A. Freije, Georgios Dangas, Antonis Athanasiadis et al.· bioRxiv· 0 citations
Lipofection- and lentivirus-mediated protocols for CRISPR-Cas9 delivery in mouse-passaged primary human hepatocytes (mpPHH) are reported, a system that enables PHH expansion in liver-humanized mice and enables scalable genetic manipulation of mpPHH, opening new avenues for HBV research and liver disease modeling.
Ansgar F. Stenzel, Antonis Athanasiadis, Georgios Dangas et al.· bioRxiv· 0 citations