Table 2_A novel prognostic signature identifies MFAP4 as a tumor suppressor linking the tumor microenvironment to PI3K/AKT signaling in triple-negative breast cancer.xlsx by Xiaoqin Yu (3918377)

“…The model’s association with TME characteristics was assessed using ESTIMATE algorithm and immune infiltration analyses. The biological functions of the key gene, Microfibril Associated Protein 4 (MFAP4), were investigated in vitro via proliferation and migration assays. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

High-Coverage Stereoproteome Mapping Uncovers Pervasive Protein Stereoisomerization Associated with Neurodegeneration by Xia Xu (83500)

“…This method employs multidimensional isomeric separation, advanced algorithms, and stereoisomer-specific retention time shifts. …”

Data Sheet 1_Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms.zip by Zhechen Li (15456929)

“…Functional characterization included cell-cell communication analysis and pseudo-time trajectory reconstruction to elucidate the roles of candidate genes in aortic dissection pathogenesis.…”

Data Sheet 1_A novel prognostic signature identifies MFAP4 as a tumor suppressor linking the tumor microenvironment to PI3K/AKT signaling in triple-negative breast cancer.pdf by Xiaoqin Yu (3918377)

“…The model’s association with TME characteristics was assessed using ESTIMATE algorithm and immune infiltration analyses. The biological functions of the key gene, Microfibril Associated Protein 4 (MFAP4), were investigated in vitro via proliferation and migration assays. …”

Table 1_Extracellular microRNAs modulate human microglial function through TLR8.docx by Hannah Weidling (14422749)

“…</p>Methods<p>Using a machine learning algorithm and the disease-linked database PhenoMiR, we identified Alzheimer’s disease (AD)- and glioma-associated miRNAs as ligands for TLR7 and TLR8. …”

GeoUrbNet: A Multi-Source Graph-Based Framework and Dataset for Urban Building Function Analysis by haoyue Jiao (21411491)

“…We construct a knowledge graph linking over 1 million buildings in Wuhan (2009–2021), generate a GraphSAGE-based prediction model, and propose the ST-GraphMiner algorithm for temporal pattern mining. …”

Model performance over epochs. by Ayesha Khalid (7843483)

“…Approximately 1100 O<i>-</i>linked glycoprotein sequences retrieved from the <i>O-</i>GlcNAc database were utilized for model training. …”

Evaluation metrics on test data. by Ayesha Khalid (7843483)

“…Approximately 1100 O<i>-</i>linked glycoprotein sequences retrieved from the <i>O-</i>GlcNAc database were utilized for model training. …”

Co-diagnostic gene screening and machine learning modelling. by Juntu Li (20411498)

Image 1_Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening.jpeg by Ruijiao Dai (22355848)

“…Transition processes revealed heightened engagement in areas linked to auditory processing, somatosensory integration, cognitive function, and emotional regulation in musicians. …”

Image 2_Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening.jpeg by Ruijiao Dai (22355848)

“…Transition processes revealed heightened engagement in areas linked to auditory processing, somatosensory integration, cognitive function, and emotional regulation in musicians. …”

Characterization of CD3⁺ T-cell spatial distribution in the CRC tumor microenvironment using TIPC. by Mai Chan Lau (3135303)

PhAMEs group into clusters of structurally related proteins. by Federico G. Mirkin (22615287)

Image 8_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

“…The high-risk MitoScore group exhibited a worse prognosis, with enriched biological processes and molecular pathways associated with immune response, a higher frequency of gene mutations linked to poor outcomes, increased immune cell infiltration, enhanced immune function, upregulated immune checkpoint gene expression, and greater sensitivity to cyclophosphamide and venetoclax.…”

Image 1_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

“…The high-risk MitoScore group exhibited a worse prognosis, with enriched biological processes and molecular pathways associated with immune response, a higher frequency of gene mutations linked to poor outcomes, increased immune cell infiltration, enhanced immune function, upregulated immune checkpoint gene expression, and greater sensitivity to cyclophosphamide and venetoclax.…”