Autor: |
Wang, Hao, Zhang, Zhaoyue, Li, Haicheng, Li, Jinzhao, Li, Hanshuang, Liu, Mingzhu, Liang, Pengfei, Xi, Qilemuge, Xing, Yongqiang, Yang, Lei, Zuo, Yongchun |
Rok vydání: |
2023 |
DOI: |
10.6084/m9.figshare.22612357.v1 |
Popis: |
Additional file 1: Fig. S1. Analyze the workflow of the framework. Fig. S2. The ridge plots show the new marker genes captured by TURF in each cell subpopulation. Fig. S3. Comparison of marker genes selected by TURF using split violin plots. The expression level of marker genes in specific cells is shown on the left, and the total expression level of marker genes in the remaining 8 cell types is shown on the right. Fig. S4. Go and KEGG analysis of TURF optimal gene set (A, B, C and D represent biological process (BP), molecular function (MF), cellular component (CC), Kyoto Encyclopedia of Genes and Genomes (KEGG) respectively). Fig. S5. Go and KEGG analysis of LASSO optimal feature set (A, B, C and D represent biological process (BP), molecular function (MF), cellular component (CC), Kyoto Encyclopedia of Genes and Genomes (KEGG) respectively. Table S1. Performance of five feature selection methods for identifying placental cell subpopulations on four machine learning algorithms (Train dataset). Table S2. Preeclampsia risk score card. Table S3. Placental cell subpopulation data composition. Table S4. Preeclampsia predictor data composition. Table S5. Sample information on preeclampsia placenta and control pregnancies. PE was defined as blood pressure ≥ 140/90 mmHg on at least two occasions 4 h apart developing after 20-week gestation with proteinuria of ≥ 300 mg in 24 h, ≥ 30 mg/mmol in protein/creatinine ratio, or two readings of ≥ 2+ on dipstick analysis of midstream or catheter urine specimens if no 24-h collection was available. Only patients not in active labor with delivery by Cesarean section were recruited to avoid cellular contamination from the birth canal and to ensure placental cellular viability. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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