Search alternatives:
without functional » without additional (Expand Search)
algorithm without » algorithms within (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
without functional » without additional (Expand Search)
algorithm without » algorithms within (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
-
2921
Enrichment analysis of GO.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
2922
Lasso gene RF hub gene.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
2923
Enrichment analysis of KEGG.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
2924
Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
-
2925
Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
-
2926
Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
-
2927
Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…Differentially altered pathways were evaluated by using the enrich plot package in R for visualization of functional enrichment (i.e., dot plot).</p>…”
-
2928
Image_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2929
Image_2_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2930
Image_3_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2931
Data_Sheet_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.CSV
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2932
Table_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.XLSX
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2933
Image_4_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2934
Data_Sheet_2_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.CSV
Published 2021“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”
-
2935
DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx
Published 2024“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”
-
2936
Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx
Published 2024“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”
-
2937
Table2_YinChen WuLing powder attenuates non-alcoholic steatohepatitis through the inhibition of the SHP2/PI3K/NLRP3 pathway.xlsx
Published 2024“…Through analytic integration with multiple algorithms, PTPN11 (also known as SHP2) emerged as a core target of YCWLP in mitigating NASH. …”
-
2938
Table1_YinChen WuLing powder attenuates non-alcoholic steatohepatitis through the inhibition of the SHP2/PI3K/NLRP3 pathway.pdf
Published 2024“…Through analytic integration with multiple algorithms, PTPN11 (also known as SHP2) emerged as a core target of YCWLP in mitigating NASH. …”
-
2939
FCP dataset for forecasting temperature, PV, price, and load
Published 2025“…</p><p><br></p><p dir="ltr">In this project, we propose to empower the EV chargers with 5G capabilities for connectivity and computing and bring smartness and intelligence into them. 5G is fast, so the high-resolution EV charger data can be accessed in real-time with minimal delay. 5G supports high concurrency, so a large number of EV chargers can utilize the connectivity without being forced to be sequential to avoid conflict and long delay. 5G has great bandwidth, so abundant information from EV chargers and the associated facilities like battery energy storage systems (BESS) and solar panels can be transmitted. 5G is also ultra-reliable with low latency which makes 5G suitable for mission critical functionalities and time-sensitive control. …”