Comparison of periodicity of selected clock mutants. by Julian Bigge (22331861)

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Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Overview of CINner’s mathematical model and simulation algorithm. by Khanh N. Dinh (20549532)

“…<b>(d)</b> Selection model for driver genes. Each driver gene has a selection rate for its wild-type (WT) and mutant (MUT) alleles, which are constant across cells. …”

Table 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Table 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Image 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Image 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Image 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Table 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Characterizing the malignant features of EGFR-mutant epithelial cells may facilitate improved stratification and personalized therapeutic strategies.…”

Figure 2 from Repurposing Vandetanib plus Everolimus for the Treatment of <i>ACVR1</i>-Mutant Diffuse Intrinsic Pontine Glioma by Diana M. Carvalho (5608127)

Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. by Rongxin Zhang (1618159)

Equivalent Mutants Analysed via Deductive Verification by Serge Demeyer (5133878)

“…</p><p dir="ltr">In the paper we investigate the (supposedly) equivalent mutants from, MutantBench an open-source dataset designed for comparing the performance of tools for detecting equivalent mutants [https://github.com/MutantBench/]. …”

Overview of data and command flow in our proposed system’s architecture. by Julian Bigge (22331861)

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System overview showing stackable Hatching-Boxes. by Julian Bigge (22331861)

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Archive containing manufacturing files. by Julian Bigge (22331861)

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Screenshot a the Hatching-Box server application (HB-server). by Julian Bigge (22331861)

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Performance analysis of the trained YOLOv7 models. by Julian Bigge (22331861)

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Performance analysis for identity preserving tracking. by Julian Bigge (22331861)

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Class confusion evaluation for the trained YOLOv7-tiny model. by Julian Bigge (22331861)

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Overview of the proposed hardware architecture. by Julian Bigge (22331861)

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