Data Sheet 1_Quantitatively analyzing the relationship between non-pharmaceutical interventions and the direction of virus evolution using a dynamic model.pdf by Zuiyuan Guo (2601433)

“…Introduction<p>Since the emergence of COVID-19 in 2019, SARS-CoV-2 has persisted in mutating, giving rise to multiple variants of concern that have triggered several pandemics globally. …”

Data Sheet 2_Quantitatively analyzing the relationship between non-pharmaceutical interventions and the direction of virus evolution using a dynamic model.pdf by Zuiyuan Guo (2601433)

“…Introduction<p>Since the emergence of COVID-19 in 2019, SARS-CoV-2 has persisted in mutating, giving rise to multiple variants of concern that have triggered several pandemics globally. …”

Relative runtime analysis of our <i>ℓ</i>₁ regression algorithm and LP solvers. by Henri Schmidt (17364844)

Absolute runtime analysis of our <i>ℓ</i>₁ regression algorithm and LP solvers. by Henri Schmidt (17364844)

The workflow of Algorithm 2 with the example in by Badhan Das (7434362)

Relative runtime analysis of warm versus cold starting our <i>ℓ</i>₁ regression algorithm. by Henri Schmidt (17364844)

Absolute runtime analysis of warm versus cold starting our <i>ℓ</i>₁ regression algorithm. by Henri Schmidt (17364844)

ARI and NMI of inferring mutation clusters. by Henri Schmidt (17364844)

“…Owing to its scalability, <i>fastBE</i> enables both phylogenetic reconstruction directly from indvidual mutations without requiring the clustering of mutations into clones, as well as a new phylogeny constrained mutation clustering algorithm. …”

Overview of our approach. by Carlos A. Gomez-Uribe (21492788)

Inferred phylogenies for POP66. by Henri Schmidt (17364844)

“…Owing to its scalability, <i>fastBE</i> enables both phylogenetic reconstruction directly from indvidual mutations without requiring the clustering of mutations into clones, as well as a new phylogeny constrained mutation clustering algorithm. …”

Runtime analysis for B-ALL patient phylogenies. by Henri Schmidt (17364844)

“…Owing to its scalability, <i>fastBE</i> enables both phylogenetic reconstruction directly from indvidual mutations without requiring the clustering of mutations into clones, as well as a new phylogeny constrained mutation clustering algorithm. …”

Inferred phylogenies for CSC28. by Henri Schmidt (17364844)

“…Owing to its scalability, <i>fastBE</i> enables both phylogenetic reconstruction directly from indvidual mutations without requiring the clustering of mutations into clones, as well as a new phylogeny constrained mutation clustering algorithm. …”

<i>ℓ</i>₁ matrix error for B-ALL patient phylogenies. by Henri Schmidt (17364844)

“…Owing to its scalability, <i>fastBE</i> enables both phylogenetic reconstruction directly from indvidual mutations without requiring the clustering of mutations into clones, as well as a new phylogeny constrained mutation clustering algorithm. …”

Fig 4 - by Henri Schmidt (17364844)

Parameters defining the continuous automaton. by Kenneth Y. Wertheim (11226486)

Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice by Yiyong Zhao (21466062)

Data Sheet 2_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.pdf by Wuyuan Liao (21776432)

“…The model's predictive ability was rigorously validated in multiple independent cohorts. Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”

Image 6_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

“…The model's predictive ability was rigorously validated in multiple independent cohorts. Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”

Table 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.xlsx by Wuyuan Liao (21776432)

“…The model's predictive ability was rigorously validated in multiple independent cohorts. Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”

Image 4_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

“…The model's predictive ability was rigorously validated in multiple independent cohorts. Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”