182 Works

From Black Box to Shining Spotlight

Andrew J. Sage, Yang Liu & Joe Sato
We introduce a pair of Shiny web applications that allow users to visualize random forest prediction intervals alongside those produced by linear regression models. The apps are designed to help undergraduate students deepen their understanding of the role that assumptions play in statistical modeling by comparing and contrasting intervals produced by regression models with those produced by more flexible algorithmic techniques. We describe the mechanics of each approach, illustrate the features of the apps, provide...

From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression

Andrew J. Sage, Yang Liu & Joe Sato
We introduce a pair of Shiny web applications that allow users to visualize random forest prediction intervals alongside those produced by linear regression models. The apps are designed to help undergraduate students deepen their understanding of the role that assumptions play in statistical modeling by comparing and contrasting intervals produced by regression models with those produced by more flexible algorithmic techniques. We describe the mechanics of each approach, illustrate the features of the apps, provide...

Cross-watershed distribution pattern challenging the elimination of Oncomelania hupensis, the intermediate host of Schistosoma japonica, in Sichuan province, China

Shen Chen, Ding Lu, Lei Duan, Ben Ma, Chao Lv, Yin-long Li, Shen-ning Lu, Lan-hua Li, Liang Xu, Zi-song Wu, Shang Xia, Jing Xu, Yang Liu & Shan Lv
Abstract Background Snail control is critical to schistosomiasis control efforts in China. However, re-emergence of Oncomelania hupensis is challenging the achievements of schistosomiasis control. The present study aimed to test whether the amphibious snails can spread across watersheds using a combination of population genetics and geographic statistics. Methods The digital maps and attributes of snail habitats were obtained from the national survey on O. hupensis. Snail sampling was performed in 45 counties of Sichuan Province....

Additional file 2 of The role of proteoglycan form of DMP1 in cranial repair

Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 2.

Additional file 3 of The role of proteoglycan form of DMP1 in cranial repair

Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 3.

Additional file 2 of Development and validation of an extended Cox prognostic model for patients with ER/PR+ and HER2− breast cancer: a retrospective cohort study

Yiqun Xie, Xizhou Li, Ying Wu, Wenting Cui & Yang Liu
Additional file 2: Appendix 2. Hazard ratios and their 95% confidence limits of Ki67, PR, ER, and age. Figure 1. Hazard ratios and their 95% confidence limits for a series of binary variables of Ki67. Figure 2. Hazard ratios and their 95% confidence limits for a series of binary variables of ER. Figure 3. Hazard ratios and their 95% confidence limits for a series of binary variables of PR. Figure 4. Hazard ratios and their...

Development and validation of an extended Cox prognostic model for patients with ER/PR+ and HER2− breast cancer: a retrospective cohort study

Yiqun Xie, Xizhou Li, Ying Wu, Wenting Cui & Yang Liu
Abstract Background The purpose of this study was to explore a new estrogen receptor (ER) and/or progesterone receptor (PR)+ and human epidermal growth factor receptor 2 (HER2)− breast cancer prognostic model, called the extended Cox prognostic model, for determining the cutoff values for multiple continuous prognostic factors and their interaction via the new model concept and variable selection method. Methods A total of 335 patients with ER/PR+ and HER2− breast cancer were enrolled for the...

The beneficial effect of growth mindset intervention for adolescents in economically disadvantaged areas of China

Ruixue Xia, Peiying Zhang, Ruiyang Liu, Junwei Xue, Huijing Zhu, Guaiguai Guo, Min Zhang & Yang Liu
The existing research has explored the effects of growth mindset intervention on individuals in Western culture. This study sought to determine whether growth mindset intervention has a positive impact on adolescents in economically disadvantaged areas of China. Participants in this study were 324 junior high school students who were randomly divided into the intervention group and the control group. The intervention group received six weeks of intervention classes designed to help students learn, internalize, and...

Additional file 1 of Comparison of femoral mechanics before and after internal fixation removal and the effect of sclerosis on femoral stress: a finite element analysis

Yang Liu, Wenjie Song, Haoran Liang, Chaoxin Li, Wenjie Niu, Huifeng Shao, Yuze Wang, Ziquan Yang, Pengcui Li, Xiaogang Wu, Yong He, Xiaochun Wei & Wangping Duan
Additional file 1.

Additional file 2 of Comparison of femoral mechanics before and after internal fixation removal and the effect of sclerosis on femoral stress: a finite element analysis

Yang Liu, Wenjie Song, Haoran Liang, Chaoxin Li, Wenjie Niu, Huifeng Shao, Yuze Wang, Ziquan Yang, Pengcui Li, Xiaogang Wu, Yong He, Xiaochun Wei & Wangping Duan
Additional file 2.

Comparison of femoral mechanics before and after internal fixation removal and the effect of sclerosis on femoral stress: a finite element analysis

Yang Liu, Wenjie Song, Haoran Liang, Chaoxin Li, Wenjie Niu, Huifeng Shao, Yuze Wang, Ziquan Yang, Pengcui Li, Xiaogang Wu, Yong He, Xiaochun Wei & Wangping Duan
Abstract Background Femoral neck fractures are a common traumatic injury. The removal of the internal fixation remains controversial, especially in terms of mechanical stability. Moreover, collapsed necrosis of the femoral head continues to occur after fracture healing. We believe that sclerotic cancellous bone (SCB) formation around the screw is associated with femoral head necrosis. We aimed to compare mechanical features before and after implant removal and determine the effect of SCB formation on stress distribution....

Additional file 1 of AGuIX nanoparticles enhance ionizing radiation-induced ferroptosis on tumor cells by targeting the NRF2-GPX4 signaling pathway

Hao Sun, Hui Cai, Chang Xu, Hezheng Zhai, François Lux, Yi Xie, Li Feng, Liqing Du, Yang Liu, Xiaohui Sun, Qin Wang, Huijuan Song, Ningning He, Manman Zhang, Kaihua Ji, Jinhan Wang, Yeqing Gu, Géraldine Leduc, Tristan Doussineau, Yan Wang, Qiang Liu & Olivier Tillement
Additional file 1: Figure S1. (A) Representative images of dissected tumors across the different treatment groups. (B-C) PCNA protein expression levels were selected as indices of tumor tissue proliferation for immunohistochemical detection and analysis. (D-E) TUNEL experiment of tumor tissues in different treatment groups. Figure S2. Hematoxylin and eosin staining tests (Figure S2A) and serum biochemical indices, including albumin, alanine aminotransferase, creatinine, and urea levels,(Figure S2B-E) showed that there was no significant histological evidence of...

Additional file 21 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 21: Fig. S21. Protein expression changes in PANC-1 cell lines after HOGA1 knocked down and over expressed, related to Fig. 8. A The schematic work flow of validation experiments for the protein expression changes after HOGA1 knocked down and over expressed. B The volcano plot showing the proteins that significantly altered between PANC-1 cells with HOGA1 KD (left)/HOGA1 OE (right) and WT. The GO processes enriched by proteins upregulated in HOGA1 KD cell...

Additional file 23 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 23: Table S1. Clinicopathologic Information and Multi-omics Data in PDAC Cohort. Table S1A Multi-omics information of PDAC cohort. Table S1B Clinicopathologic information of the 229 PDAC.

Data underlying the article: \"Ultrahigh Dynamic Range and Low Noise Figure Programmable Integrated Microwave Photonic Filter\"

Okky Daulay, Gaojian Liu, kaixuan ye, Roel Botter, Yvan Klaver, qinggui tan, Hongxi Yu, Marcel Hoekman, Edwin Klein, Chris Roeloffzen, Yang Liu & David Marpaung
Data underlying the article: "Ultrahigh Dynamic Range and Low Noise Figure Programmable Integrated Microwave Photonic Filter". The data set consists of several different measurement results for the modulation transformer, double injection ring resonator, and microwave photonic filter responses as published in the resource article. All data is stored in files using the CSV-format. The set is structered to give the data per figure (subfigure), where each subfigure has a folder containing a README-file describing the...

Data underlying the article: \"Ultrahigh Dynamic Range and Low Noise Figure Programmable Integrated Microwave Photonic Filter\"

Okky Daulay, Gaojian Liu, kaixuan ye, Roel Botter, Yvan Klaver, qinggui tan, Hongxi Yu, Marcel Hoekman, Edwin Klein, Chris Roeloffzen, Yang Liu & David Marpaung
Data underlying the article: "Ultrahigh Dynamic Range and Low Noise Figure Programmable Integrated Microwave Photonic Filter". The data set consists of several different measurement results for the modulation transformer, double injection ring resonator, and microwave photonic filter responses as published in the resource article. All data is stored in files using the CSV-format. The set is structured to give the data per figure (subfigure), where each subfigure has a folder containing a README-file describing the...

Additional file 6 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 6: Fig. S6. Proteomic features in tumor tissues compared with NATs of the PDAC in CPTAC cohort, related to Fig. 3. A Venn diagram summary of the number of up-regulated (left) and down-regulated (right) proteins between Fudan cohort and CPTAC cohort. B Differentially expressed proteins in tumors and NATs in CPTAC cohort (right panel). The left panel shows KEGG pathway analysis of identified differentially expressed proteins. Red, up-regulated pathways; blue, down-regulated pathways. C...

Additional file 9 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 9: Fig. S9. 8p11.22 amplification is associated with PDAC metastasis, related to Fig. 5. A Western blot assays were conducted for detecting ADAM9 protein in PANC-1 cells after si-ADAM9-1 and si-ADMA9-2 knocked down. B The scatter plot depicting the correlation between ADAM9 expression and expression of ADAM9-interacting proteins (Spearman’s correlation). C The scatter plot depicting the correlation between the abundance of SRC and pathways (GSVA score). D The boxplots indicating the protein expression...

Additional file 14 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 14: Fig. S14. Proteomic subtypes of CPTAC PDAC patients based on Fudan’s proteomic stratification, related to Fig. 6. A Consensus matrices of identified clusters (k = 2 to 5) of proteomic subtypes in CPTAC cohort based on Fudan’s proteomic stratification. B, C The consensus CDF (B) and delta area (change in CDF area) plots (C) are shown. D The heatmap depicting the relative abundance of signature proteins among three proteomic subtypes. E The...

Additional file 18 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 18: Fig. S18. Characterization of ECM subtypes in PDAC, related to Fig. 7. A H&E-stained slides of samples of deserted, inter, reactive ECM subtypes. B The expression heatmap describing differentially expressed proteins and phosphoproteins among three ECM subtypes. The enriched biological pathways were annotated on the right. C Boxplot illustrating the purity of sample among ECM subtypes. D Boxplots showing the expression of ECM markers among ECM subtypes. E IHC profiling of ECM...

Additional file 19 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 19: Fig. S19. Biological diversity between high and low purity samples. A The heatmap indicating the correlation between histological purity and purity assessed by ESTIMATE and ABSOLUTE package. B The expression heatmap describing differentially expressed proteins and phosphoproteins in high/low tumor purity. The enriched biological pathways are annotated on the right.

Additional file 1 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma

Yexin Tong, Mingjun Sun, Lingli Chen, Yunzhi Wang, Yan Li, Lingling Li, Xuan Zhang, Yumeng Cai, Jingbo Qie, Yanrui Pang, Ziyan Xu, Jiangyan Zhao, Xiaolei Zhang, Yang Liu, Sha Tian, Zhaoyu Qin, Jinwen Feng, Fan Zhang, Jiajun Zhu, Yifan Xu, Wenhui Lou, Yuan Ji, Jianyuan Zhao, Fuchu He, Yingyong Hou … & Chen Ding
Additional file 1: Fig. S1. Quality assessment of proteomic data of PDAC, related to Fig. 1. A-D. The number of identified mRNA (A), protein (B), phosphoprotein (C) and phosphosite (D) in the tumors and NATs. E Trinucleotide motif frequency plots and mutations frequency similarity of identified five mutational profiles (Fudan cohort). F Trinucleotide motif frequency plots and mutations frequency similarity of identified five mutational profiles (CPTAC cohort). G Spearman’s correlation analysis of 16 HEK293T cell...

Additional file 2 of Intrauterine growth retardation affects liver bile acid metabolism in growing pigs: effects associated with the changes of colonic bile acid derivatives

Yang Liu, Md. Abul Kalam Azad, Wanghong Zhang, Liang Xiong, Francois Blachier, Zugong Yu & Xiangfeng Kong
Additional file 2: Table S2. The composition and nutrient levels of piglets’ creep diets (as-fed basis).

Additional file 3 of Intrauterine growth retardation affects liver bile acid metabolism in growing pigs: effects associated with the changes of colonic bile acid derivatives

Yang Liu, Md. Abul Kalam Azad, Wanghong Zhang, Liang Xiong, Francois Blachier, Zugong Yu & Xiangfeng Kong
Additional file 3: Table S3. The composition and nutrient levels of pigs’ diets (as-fed basis).

Additional file 1 of An efficient preparation and biocatalytic synthesis of novel C-glycosylflavonols kaempferol 8-C-glucoside and quercetin 8-C-glucoside through using resting cells and macroporous resins

Yangbao Wu, Huan Wang, Yang Liu, Linguo Zhao & Jianjun Pei
Additional file 1: Table S1. Physical properties of different macroporous resins used in this study. Figure S1. The diagrams for the adsorption and desorption of C-glycosylflavonols via the macroporous resins. Figure S2. Biosynthesis of UDP-glucose by the cellobiose phosphorolysis pathway and sucrose phosphorolysis pathway. Figure S3. HPLC analysis of kaempferol 8-C-glucoside production for 0, 48, and 120 h of incubation and purified kaempferol 8-C-glucoside. Figure S4. HPLC analysis of kaempferol 8-C-glucoside and quercetin 8-C-glucoside production...

Registration Year

  • 2022
    182

Resource Types

  • Text
    104
  • Dataset
    37
  • Collection
    30
  • Image
    11

Affiliations

  • Chinese Academy of Tropical Agricultural Sciences
    182
  • Sun Yat-sen University
    182
  • London School of Hygiene & Tropical Medicine
    182
  • Zhejiang University
    182
  • Central South University
    182
  • Fudan University Shanghai Cancer Center
    182
  • Fairy Lake Botanical Garden
    182
  • Tangshan Gongren Hospital
    182
  • Shanghai University of Traditional Chinese Medicine
    182
  • Lund University
    182