Data Sheet 1_Assisting human annotation of marine images with foundation models.pdf by Eric C. Orenstein (21776879)

“…<p>Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. …”

Machine vision system for quantification of aortic and pulmonic valvuloplasty catheter compliance by Jiazhe Tang (17596080)

“…Upon ballon inflation, the defocused image is then refocused though passive focusing algorithms used to identify the best focal position. …”

Data Sheet 1_Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.docx by Jinchen He (18929662)

“…</p>Methods<p>We performed bulk RNA sequencing on peripheral blood samples from clinically diagnosed HCM patients (n = 4) and matched healthy controls (n = 3), followed by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Machine learning algorithms (LASSO and Random Forest) were used to identify key diagnostic genes. …”

Data Sheet 2_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.zip by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data by Mario Beraha (11669142)

“…For sketches with multiple hash functions, we introduce an approach based on <i>multi-view</i> learning to construct computationally efficient frequency estimators. …”

Data Sheet 3_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.zip by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Table 5_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.xls by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Table 1_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.xls by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Table 4_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.xls by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Data Sheet 4_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.zip by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Table 2_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.xls by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient by Zhuang Wang (22542833)

“…Preliminary analysis using classical machine learning algorithms (CSP+SVM and CSP+LDA) demonstrated an average classification accuracy between the two MI paradigms maintained at approximately 74% ~ 76%. …”

Data Sheet 5_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.docx by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Data Sheet 1_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.zip by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Table 3_Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.xls by Jieqiong Tang (10362206)

“…</p>Methods<p>Key genes were screened using three machine learning algorithms to establish a diagnostic model. …”

Data sharing by Zihan Jin (20638007)

“…In this work, we developed a monolithically integrated self-inducted microfluidic bionic electronic tongue (SMET), combining the LSCE effect with deep learning algorithms to achieve highly reliable and intelligent sample identification and concentration detection. …”

Image 1_Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen should... by Han-tao Jiang (21724118)

“…At the outset, we conducted differential expression analysis, weighted gene co-expression network analysis (WGCNA), and utilized the cytoHubba plugin, complemented by two machine learning algorithms, receiver operating characteristic (ROC) analysis, and expression level evaluation to identify biomarkers for FS. …”

Table 3_Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen should... by Han-tao Jiang (21724118)

“…At the outset, we conducted differential expression analysis, weighted gene co-expression network analysis (WGCNA), and utilized the cytoHubba plugin, complemented by two machine learning algorithms, receiver operating characteristic (ROC) analysis, and expression level evaluation to identify biomarkers for FS. …”

Data Sheet 1_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.pdf by Shengjie Xiong (21216725)

“…Protein-protein interaction (PPI) network analysis and intersection of four algorithms were used to identify key candidate genes. …”

Table 10_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Protein-protein interaction (PPI) network analysis and intersection of four algorithms were used to identify key candidate genes. …”