Predicting Oxidation Potentials with DFT-Driven Machine Learning حسب Shweta Sharma (41033)

"…To further facilitate future development of ML models, we extensively tested various algorithms and conducted a thorough feature importance analysis. …"

Predicting Oxidation Potentials with DFT-Driven Machine Learning حسب Shweta Sharma (41033)

"…To further facilitate future development of ML models, we extensively tested various algorithms and conducted a thorough feature importance analysis. …"

Table 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 4_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Table 3_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.xlsx حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 6_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 1_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 2_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Image 5_Functional and clinical validation of tsRNA-defined molecular subtypes guides precision therapy in gastric cancer.tif حسب Ye Tian (220278)

"…A prognostic model was constructed using machine learning algorithms and validated across multiple cohorts. …"

Data Sheet 1_Multi-omics analysis and metastasis risk factor prediction in N1b stage PTMC: insights into immune infiltration and therapeutic implications.docx حسب Hao Dai (4277254)

Table 1_Identification of immunogenic cell death signature genes in hepatocellular carcinoma: from single-cell transcriptomics to in vitro mechanistic validation and comprehensive... حسب Hongliang Liu (188124)

"…We identified HCC-specific ICD-related (HCC-ICDR) genes via WGCNA and optimized a prognostic model by benchmarking machine learning algorithms. Experimental validation included functional assays using CLIC1 and NAP1L1 overexpression in HepG2 cells.…"

Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf حسب Myeonghwan Seong (21159605)

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

Data Sheet 1_Identification of immunogenic cell death signature genes in hepatocellular carcinoma: from single-cell transcriptomics to in vitro mechanistic validation and comprehen... حسب Hongliang Liu (188124)

"…We identified HCC-specific ICD-related (HCC-ICDR) genes via WGCNA and optimized a prognostic model by benchmarking machine learning algorithms. Experimental validation included functional assays using CLIC1 and NAP1L1 overexpression in HepG2 cells.…"

Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf حسب Xiaopeng Zhan (4170574)

"…</p>Methods<p>Here, we conducted a comprehensive analysis of large-scale genomic datasets, including from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"

Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf حسب Xiaopeng Zhan (4170574)

"…</p>Methods<p>Here, we conducted a comprehensive analysis of large-scale genomic datasets, including from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"

Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx حسب Xiaopeng Zhan (4170574)

"…</p>Methods<p>Here, we conducted a comprehensive analysis of large-scale genomic datasets, including from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"