The most significant functions in seven gene sets. by Pengcheng Zhao (6009899)

Functional enrichment and correlation analysis of hub DE-SRGs. by Xihao Shen (20347942)

Subjects:

Root mean square fluctuation (RMSF) of the backbone atoms of the protein as a function of each amino acid residue. by L. F. S. Bonet (11502082)

The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

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

Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes. by Wenjun Zhao (644283)

“…<p>Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes.…”

The functional enrichment analysis of SOD2 and ZNF24 in OA. by Qiu Li (2127361)

Subjects:

R-squared comparison of test function. by Kejia Liu (5699651)

Subjects:

Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”

Fixed-dimensional multimodal reference functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”

Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”

Filip_DataHazards_Poster.pdf by Natalie Zelenka (14852105)

Subjects:

In-degree distributions of Boolean functions inferred with SAILoR. by Žiga Pušnik (18806074)

The results of gene ontology analysis of the hub genes, including (a) biological process, (b) cellular components, (c) molecular functions, and (d) pathway analysis. by Devi Soorya Narayana Sasikumar (22331743)

Subjects:

Pathway activity and single-cell level functional states of CEDGs in cancer. by Yuxi Gu (11386081)

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

Functional annotation of DE genes for each cell line as a result of CKI treatment. by Jian Cui (182110)

“…<p>Summary of over-represented a: GO terms for Biological Process, b: KEGG pathways and c: DO terms for DE genes as a result of CKI treatment in each cell line at two time points. …”

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)