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algorithms python » algorithms within (Expand Search), algorithm within (Expand Search), algorithms often (Expand Search)
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861
Image 1_Integrated transcriptomic and single-cell RNA-seq analysis identifies CLCNKB, KLK1 and PLEKHA4 as key gene of AKI-to-CKD progression.tif
Published 2025“…Functional enrichment, drug prediction analyses and immune cells infiltration were conducted to investigate the functional mechanisms of the identified biomarkers. …”
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862
Table 1_Integrated transcriptomic and single-cell RNA-seq analysis identifies CLCNKB, KLK1 and PLEKHA4 as key gene of AKI-to-CKD progression.xlsx
Published 2025“…Functional enrichment, drug prediction analyses and immune cells infiltration were conducted to investigate the functional mechanisms of the identified biomarkers. …”
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863
Image 4_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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864
Table 4_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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865
Image 2_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.tif
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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866
Table 5_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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867
Image 1_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.tif
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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868
Table 3_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.docx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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869
Table 7_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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870
Image 6_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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871
Table 1_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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872
Table 2_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.docx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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873
Table 8_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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874
Table 6_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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875
Table 9_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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876
Image 5_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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877
Table 11_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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878
Image 7_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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879
Image 3_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”
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880
Table 10_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv
Published 2025“…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …”