Linhua Wang

Jan 23, 2025 | digitalcommons.library.tmc.edu | Linhua Wang |Chaozhong Liu |Yang Gao |Xiang Zhang

SUMMARY: In the era where transcriptome profiling moves toward single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here, we present a Python package called Spatial Enrichment Analysis of Gene Associations using L-index (SEAGAL) to detect and visualize spatial gene correlations at both single-gene and gene-set levels.

Jun 24, 2024 | dovepress.com | Junli Feng |Linhua Wang |Haixing Wang |Ningsi Xu

Junli Feng,1,* Ningsi Xu,1,* Linhua Wang,2 Haixing Wang,3 Yi Zhou,3 Qing Shen4,5 1Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, 310012, People’s Republic of China; 2Hangzhou Linping Hospital of Traditional Chinese Medicine, Linping, Zhejiang, 311106, People’s Republic of China; 3Key Laboratory of Drug Monitoring and Control of Zhejiang...

Oct 9, 2023 | nature.com | Linhua Wang |Matthew Lanning |Lixin Wang |Shu Ye

AbstractStreamflow reductions have been attributed to the impacts of soil nutrient availability on plant transpiration, connecting soil biogeochemical and hydrological processes. Here we conducted a plot-scale acid addition experiment and monitored long-term hydrology in a subtropical watershed to provide direct evidence for the underlying mechanisms of these connections.

Aug 28, 2023 | pubs.acs.org | Zehai Lu |Linhua Wang |Matthew Hughes |Stephen Smith

CCDC 2010896 contains the supplementary crystallographic data for this paper. These data can be obtained free of charge via www.ccdc.cam.ac.uk/data_request/cif, or by emailing [email protected], or by contacting The Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: +44 1223 336033. Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions.

Jul 12, 2023 | academic.oup.com | Computational Biosciences |Linhua Wang

In the era where transcriptome profiling moves towards single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here we present a Python package called Spatial Enrichment Analysis of Gene Associations using L-index (SEAGAL) to detect and visualize spatial gene correlations at both single-gene and gene-set levels.