Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

الموضوعات:

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>" حسب Doga CEDDEN (12675286)

"…</p><p><br></p><p dir="ltr">Chapter 4 introduces the dsRIP web platform (<a href="https://dsrip.uni-goettingen.de/" target="_blank">https://dsrip.uni-goettingen.de/</a>) for designing sequence-optimized dsRNA for RNAi-based pest control. In the experimental part, small interfering RNA (siRNA) features that were associated with RNAi efficacy in human cells were tested in <i>T. castaneum </i>by targeting an essential gene and measuring insecticidal efficacy. …"

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

"…Most importantly, this knowledge can be used to discover drugs’ mechanisms of action. Recently, deep learning-based drug design methods are in the spotlight due to their ability to explore huge chemical space and design property-optimized target-specific drug molecules. …"

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

"…Most importantly, this knowledge can be used to discover drugs’ mechanisms of action. Recently, deep learning-based drug design methods are in the spotlight due to their ability to explore huge chemical space and design property-optimized target-specific drug molecules. …"

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

"…Most importantly, this knowledge can be used to discover drugs’ mechanisms of action. Recently, deep learning-based drug design methods are in the spotlight due to their ability to explore huge chemical space and design property-optimized target-specific drug molecules. …"

DataSheet_1_Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action.pdf حسب Ashleigh van Heerden (11041338)

"…We developed a rational gene selection approach that could identify predictive features for MoA to train and generate ML models. …"

DataSheet1_Revealing the novel ferroptosis-related therapeutic targets for diabetic foot ulcer based on the machine learning.zip حسب Xingkai Wang (13861133)

"…Eventually, an optimal DFU prediction model was created by combining multiple machine learning algorithms (LASSO, SVM-RFE, Boruta, and XGBoost) to detect ferroposis genes most closely associated with DFU. …"

Data_Sheet_1_Stable DNA Sequence Over Close-Ending and Pairing Sequences Constraint.docx حسب Xue Li (285380)

Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx حسب Yuan Liu (88411)

Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction حسب Raul A. Flores (2910539)

"…We emphasize that the proposed AL algorithm can be easily generalized to search for any binary metal oxide structure with a defined stoichiometry.…"

Table 1_Plasma exosomal lncRNA-related signatures define molecular subtypes and predict survival and treatment response in hepatocellular carcinoma.docx حسب Fangmin Zhong (17415318)

"…Prognostic models were developed and optimized via 10 machine learning algorithms with 10-fold cross-validation. …"