Data Sheet 2_Deep learning in microbiome analysis: a comprehensive review of neural network models.pdf by Piotr Przymus (10165658)

“…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”

Leadership at the Borders: Reimagining Organizational Development Amid Disrupted Context by Nawaf Al-Ghanem (17925863)

“…Digital infrastructures expand the capacity for cross-border collaboration yet expose organizations to vulnerabilities in cybersecurity, data ethics, and algorithmic inequality. Meanwhile, leadership within multicultural and transnational environments requires navigation across cultural and normative frontiers, demanding a shift from control to coordination, from authority to adaptability, and from hierarchy to networked influence.…”

Image 2_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif by Feng Liu (72874)

“…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…”

Image 1_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif by Feng Liu (72874)

“…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…”

Image 3_Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory.tif by Feng Liu (72874)

“…</p>Methods<p>We leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.…”

Data Sheet 2_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 9_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 2_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 3_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 10_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 5_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 11_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 8_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 4_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 1_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 7_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Data Sheet 6_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in... by Yifan Xu (87249)

“…</p>Methods<p>We employed functional enrichment algorithms, including AUCell and UCell, to assess lactylation activity in GBM cancer cells. …”

Supplementary file 1_Probiotic modulation of maternal gut and milk microbiota and potential implications for infant microbial development in the perinatal period.docx by Kian Deng Tye (14200517)

“…These findings highlight complex diet–microbiota–immune interactions within reproductive and lactational systems, offering insights into strategies for enhancing maternal and neonatal health resilience.…”

Polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…All simulations are executed within the canonical (NVT) ensemble and a sample frequency was set to 1fs.…”

Data Sheet 1_Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy.pdf by Xiaote Zhang (21570542)

“…</p>Methods<p>A retrospective analysis was conducted on 847 pediatric patients with AH. Five ML algorithms were developed to identify OME using demographic, clinical, laboratory, and acoustic immittance parameters. …”