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Yanqing Niu

Showing results (11-20 of 18) with videos related to

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BMC Genomics|December 18, 2020
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction predictionChengshuai Zhao, Yang Qiu, Shuang Zhou, et al.
Plos One|May 29, 2015
Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learningWen Zhang, Yanqing Niu, Hua Zou, et al.
Environmental Research|August 27, 2025
Mn-doped Ti-Fe composite oxide catalysts for efficient low-temperature NO<sub>x</sub> reduction: Enhancing catalytic performance and sulfur resistanceGuangyao Wang, Runjie Hu, Yi Liu, et al.
Bioresource Technology|July 27, 2010
Study on fusion characteristics of biomass ashYanqing Niu, Hongzhang Tan, Xuebin Wang, et al.
Bioresource Technology|January 16, 2013
Further study on biomass ash characteristics at elevated ashing temperatures: the evolution of K, Cl, S and the ash fusion characteristicsYanqing Niu, Wenzhi Du, Houzhang Tan, et al.
Waste Management (New York, N.Y.)|April 7, 2026
Insight into melting behavior of MSWI fly ash via multicomponent ternary systems and the regulatory role of AAEMsYuchen Li, Liping Wen, Xin Guo, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
A Lightweight Machine Learning Model for High Precision Gastrointestinal Stromal Tumors IdentificationXin Sun, Xiwen Mo, Jing Shi, et al.
Cancer Science|December 2, 2023
TGF-β signaling promotes desmoid tumor formation via CSRP2 upregulationYu Li, Teruaki Fujishita, Emi Mishiro-Sato, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
BMC Genomics|December 18, 2020
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction predictionChengshuai Zhao, Yang Qiu, Shuang Zhou, et al.
Plos One|May 29, 2015
Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learningWen Zhang, Yanqing Niu, Hua Zou, et al.
Environmental Research|August 27, 2025
Mn-doped Ti-Fe composite oxide catalysts for efficient low-temperature NO<sub>x</sub> reduction: Enhancing catalytic performance and sulfur resistanceGuangyao Wang, Runjie Hu, Yi Liu, et al.
Bioresource Technology|July 27, 2010
Study on fusion characteristics of biomass ashYanqing Niu, Hongzhang Tan, Xuebin Wang, et al.
Bioresource Technology|January 16, 2013
Further study on biomass ash characteristics at elevated ashing temperatures: the evolution of K, Cl, S and the ash fusion characteristicsYanqing Niu, Wenzhi Du, Houzhang Tan, et al.
Waste Management (New York, N.Y.)|April 7, 2026
Insight into melting behavior of MSWI fly ash via multicomponent ternary systems and the regulatory role of AAEMsYuchen Li, Liping Wen, Xin Guo, et al.
Bioengineering (Basel, Switzerland)|April 26, 2025
A Lightweight Machine Learning Model for High Precision Gastrointestinal Stromal Tumors IdentificationXin Sun, Xiwen Mo, Jing Shi, et al.
Cancer Science|December 2, 2023
TGF-β signaling promotes desmoid tumor formation via CSRP2 upregulationYu Li, Teruaki Fujishita, Emi Mishiro-Sato, et al.
Pageof 2