
Peng Qiu
Articles
-
Dec 2, 2024 |
mdpi.com | Yi Lu |Wenqiang Bu |Qian Chen |Peng Qiu
1. IntroductionGiven the escalating severity of global environmental issues, the transition from traditional fossil fuels to new forms of energy has been accelerated, leading to substantial development in the field of renewable energy generation. Due to the extensive distribution of energy resources, distributed generation is a critical component of renewable power generation.
-
Nov 25, 2024 |
mdpi.com | Peng Qiu |Haohong Chen |Han Wang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
-
Sep 27, 2024 |
preprints.org | Yi Lu |Qian Chen |Peng Qiu |Wenqiang Bu
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 26 September 2024 / Approved: 27 September 2024 / Online: 27 September 2024 (12:31:13 CEST) Lu, Y.; Bu, W.; Chen, Q.; Qiu, P.; Tian, Y. Model Order Reduction and Stability Enhancement Control for AC/DC Converters Through State Feedback Method. Preprints 2024, 2024092189. https://doi.org/10.20944/preprints202409.2189.v1 Lu, Y.; Bu, W.; Chen, Q.; Qiu, P.; Tian, Y.
-
Sep 7, 2023 |
onlinelibrary.wiley.com | Peng Qiu |Yutao Chen |Cheng Dong |Juanjuan Xie
Lung adenocarcinoma (LUAD) is the prevalent malignancy worldwide. The aim is to explore differentially expressed genes (DEGs) associated with immune infiltration and survival time of LUAD patients, and predict transcriptional factors for shedding new light on molecular mechanisms and individual therapy of LUAD. ScRNA-seq data of LUAD patients was downloaded from GSE148071 and analyzed by R packages.
-
Mar 16, 2023 |
nature.com | Peng Qiu
AbstractLarge-scale scRNA-seq studies typically generate data in batches, which often induce nontrivial batch effects that need to be corrected. Given the global efforts for building cell atlases and the increasing number of annotated scRNA-seq datasets accumulated, we propose a supervised strategy for scRNA-seq data integration called SIDA (Supervised Integration using Domain Adaptation), which uses the cell type annotations to guide the integration of diverse batches.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →