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Articles by Zexi Chen
UniCure: A multi-modal model for predicting personalized cancer therapy response
Keywords UniCure multi-modal model personalized cancer therapy drug prioritization foundation model Get full text access Log in, subscribe or purchase for full access. References 1. Lamb, J. ∙ Crawford, E.D. ∙ Peck, D. ... The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease Science. 2006; 313:1929-1935 2. Subramanian, A. ∙ Narayan, R. ∙ Corsello, S.M. ... A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles Cell.
Mapping two decades of Artificial Intelligence in STEM education: a bibliometric study of the literature and research agenda
ABSTRACT The rapid integration of artificial intelligence (AI) into Science, Technology, Engineering, and Mathematics (STEM) education has catalysed explosive growth in related research. Employing Bibliometrix, VOSviewer, and CiteSpace, this study conducts a bibliometric analysis of 548 articles indexed in the Web of Science Core Collection (2005–2025). The results reveal that annual publications exhibit J-shaped growth, entering an exponential phase post-2023.
Effects of Phosphorus Addition and Warming on Alpine Plant Water Sources
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. References , , and . 2008.
Amino‐Acid Additive Engineering of Tin‐Halide Perovskites Enables High‐Efficiency and Bright Near‐Infrared Light‐Emitting Diodes
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adfm71629-sup-0001-SuppMat.docx895.6 KB Supporting Information References 1, , , , , , , Nat. Mater. 2020, 20, 10. 2, , , , , , , , , , Nat. Electron. 2022, 5, 203. 3, , , , , , , Nat. Rev. Mater. 2024, 9, 282. 4, , , , , , , Nat. Sustain. 2025, 8, 315. 5, , , , , , , , , , , , Adv. Mater. 2024, 36, 2410255. 6, , , , , , , , , , , , , , , , , , , , , Nature 2024, 630, 631.
Integration of HDS and HSFA1 Functions in MEcPP‐Mediated Thermotolerance and Growth Regulation in Physcomitrium patens
Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description pce15572-sup-0001-Supplementary_Figures_R.docx3.4 MB Figure S1. Frequency of TF families in the AtHDS, PpHDS1, PpHDS2, and PpHDS3 promoter regions. Figure S2. Expression patterns of HDS genes throughout the life cycle of P. patens and their expression levels under heat stress. Figure S3. Comparison of HDS enzymes from Arabidopsis and P. patens. Figure S4.
Steering cell-state and phenotype transitions by causal disentanglement learning
Abstract Understanding and manipulating cell-state and phenotype transitions is essential for advancing biological research and therapeutic treatment. We introduce CauFinder, an advanced framework designed to accurately identify causal regulators of these transitions and further precisely steer such transitions by integrating causal disentanglement modelling with network control based solely on observed data.
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