Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

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

Subjects:

Algorithm framework. by Zongjin Li (38031)

Subjects:

Comparison of results of different algorithms. by Zhongzhong Guo (12133402)

Subjects: “…differentially expressed genes…”

Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

Subjects: “…differentially expressed genes…”

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

Subjects:

IDEN algorithm and gene pair-based drug repurposing. by Yao Jiang (1469614)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

ROC curves of CNN + LSTM model and traditional algorithms. by Zhongzhong Guo (12133402)

Subjects: “…differentially expressed genes…”

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

Subjects:

Statistics table for ED algorithm and SNP-index algorithm association regions. by Jiaqi Li (220961)

Functional enrichment of gene clusters identified in up-regulated drought tolerant network (uDTN) using MCL algorithm. by Sanchari Sircar (198485)

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …”

Functional enrichment of 17 gene clusters identified in down-regulated drought tolerant network (dDTN) using MCL algorithm. by Sanchari Sircar (198485)

Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

“…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. …”

Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

The results of LASSO regression algorithm. by Xue Fu (549661)

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)