Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home حسب Ying Zhang (40767)

"…To circumvent subjective errors and enable real-time data collection, we further developed a mobile health platform based on the YoLov8 image recognition algorithm to ensure rapid and precise result output. …"

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home حسب Ying Zhang (40767)

"…To circumvent subjective errors and enable real-time data collection, we further developed a mobile health platform based on the YoLov8 image recognition algorithm to ensure rapid and precise result output. …"

Rapid Detection of Physicochemical Indicators of Tobacco Flavorings Using Fourier-Transform Near Infrared Spectroscopy with Chemometrics and Machine Learning حسب Qinlin Xiao (14813476)

"…The least angle regression (LAR), successive projection algorithm (SPA), and random frog (RF) were used to select characteristic wavelengths. …"

2025-01-14 - PAG Talk - Kmerseek - Olga Botvinnik - Seanome حسب Olga Botvinnik (20571431)

Conserved motif analysis of Human and <i>Leishmania Strumpellin</i> proteins using MEME suite. حسب Yusr Saadi-Ben Aoun (20469385)

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> حسب yuan sun (20399105)

"…However, there are still many deficiencies in clinical detection. In this article, we aimed to identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by metabolomics studies and machine learning algorithms.…"

Data sharing حسب Zihan Jin (20638007)

"…Instead of micropumps, miniaturized exciters were employed as SMET drivers to generate multiple excitation waveforms, producing various signal types to improve specific algorithmic accuracy. …"

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> حسب yuan sun (20399105)

"…However, there are still many deficiencies in clinical detection. In this article, we aimed to identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by metabolomics studies and machine learning algorithms.…"

Table 2_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 8_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 1_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 4_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 5_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 6_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 7_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Table 3_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.xlsx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Data Sheet 1_Serum metabolomics-based diagnostic biomarkers for colorectal cancer: insights and multi-omics validation.docx حسب Taorui Wang (22300702)

"…Subsequently, machine learning algorithms, including Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR), were applied to construct predictive models. …"

Raw LC-MS/MS and RNA-Seq Mitochondria data حسب Stefano Martellucci (16284377)

"…The centroid of each group, generated by the K-nearest neighbor (KNN) algorithm, was used to define each cluster. All samples from each group were restricted to the same cluster with no overlap.…"