ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. حسب Alexander Kroll (9304225)

الموضوعات:

Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. حسب Alexander Kroll (9304225)

الموضوعات:

Motif Code Theory Figshare Documentation حسب William Terry (22279591)

الموضوعات:

Python code used to perform the post-survey statistical analysis. حسب Devon J. Boland (6452957)

PHOTONAI explorer. حسب Ramona Leenings (11167294)

ProSmith outperforms previous models in the prediction of Michaelis constants <i>K</i>_M especially for enzymes not highly similar to proteins in the training set. حسب Alexander Kroll (9304225)

الموضوعات:

Read2Pheno classifier architecture: The input is a one-hot coded 16S rRNA sequence with length <i>T</i>. حسب Zhengqiao Zhao (6400832)

الموضوعات:

Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs. حسب Alexander Kroll (9304225)

الموضوعات:

Comparison of phenotypic predictions and metabolite composition between the three steps of BOFdat, the original <i>i</i>ML1515 BOF, SEED, and BOSS. حسب Jean-Christophe Lachance (6619307)

الموضوعات:

BOFdat Step 1: Calculating the biomass objective function stoichiometric coefficients (BOFsc) for the 4 principal macromolecular categories of the cell. حسب Jean-Christophe Lachance (6619307)

الموضوعات:

BOFdat Step 3: Identifying species-specific metabolic end goals. حسب Jean-Christophe Lachance (6619307)

الموضوعات:

Identification of metabolic end goals by BOFdat Step 3. حسب Jean-Christophe Lachance (6619307)

الموضوعات:

BOFdat Step 2: Identifying and calculating the stoichiometric coefficients of coenzymes and inorganic ions. حسب Jean-Christophe Lachance (6619307)

الموضوعات:

Python Script for the QSAR Model Building. حسب Md. Al-Amin (6270104)

For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. حسب Alexander Kroll (9304225)

الموضوعات:

Enzyme-substrate pair predictions improve with increasing substrate similarity compared to training substrates. حسب Alexander Kroll (9304225)

الموضوعات:

Ideal-observer predictions for F0 discrimination. حسب Daniel R. Guest (12192028)

Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios. حسب Alexander Kroll (9304225)

الموضوعات:

Drug-target affinity predictions improve with increasing drug similarity score compared to the training drugs. حسب Alexander Kroll (9304225)

الموضوعات:

Ideal-observer predictions for pure-tone frequency discrimination. حسب Daniel R. Guest (12192028)