Validation of the performance of 6 key anoikis-related genes. by Yufeng He (5673119)

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Flow chart of the experimental procedure. by Yufeng He (5673119)

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PCR primers. by Yufeng He (5673119)

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H&E staining results of rats in each group. by Yufeng He (5673119)

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Expression levels of spinal cord proteins in each group of rats. by Yufeng He (5673119)

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Expression levels of mRNA in the spinal cord of each group of rats. by Yufeng He (5673119)

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Selection of key anoikis-related genes. by Yufeng He (5673119)

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Identification of anoikis-related genes. by Yufeng He (5673119)

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GSEA of key anoikis-related genes. by Yufeng He (5673119)

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Data Sheet 1_A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning.pdf by Congyang Li (10012877)

Presentation_1_Understanding contrast perception in amblyopia: a psychophysical analysis of the ON and OFF visual pathways.pdf by Junhan Wei (10052356)

“…Contrast sensitivity and area under log contrast sensitivity function were extracted for statistical analysis.</p>Results<p>For the balanced CSF, we found significant interocular differences in sensitivity and area under log contrast sensitivity function in both amblyopes [F(1,10) = 74.992, p < 0.001] and controls [F(1,9) = 35.6, p < 0.001], while such differences were more pronounced in amblyopes than in controls. …”

Convergence curves for case 1. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Table 1_Identification of prognostic hub genes and functional role of BAIAP2L2 in prostate cancer progression: a transcriptomic and experimental study.xlsx by Xiangyang Zhan (10968681)

“…Differential expression analysis using the DESeq2 algorithm identified differentially expressed genes (DEGs). …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites by Gustav Olanders (3711889)

“…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …”