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algorithm python » algorithms within (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
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1341
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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1342
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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1343
Supplementary file 1_Single-cell and bulk transcriptomic analyses reveal PANoptosis-associated immune dysregulation of fibroblasts in periodontitis.zip
Published 2025“…By integrating bulk transcriptomic data with machine learning algorithms, we identified and validated key PANoptosis-related genes, highlighting their potential as novel therapeutic targets.…”
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1344
Data Sheet 1_Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.docx
Published 2025“…Machine learning algorithms (LASSO and Random Forest) were used to identify key diagnostic genes. …”
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1345
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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1346
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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1347
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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1348
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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1349
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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1350
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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1351
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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1352
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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1353
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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1354
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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1355
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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1356
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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1357
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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1358
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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1359
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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1360
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. …”