<i>I</i>-<i>U</i> characteristics using all investigated methods in Table 1: RTC-F solar cell. by Ziad M. Ali (12516532)

Subjects:

Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

Overview of different metaheuristic algorithms used in PV parameter estimation and their corresponding full names and acronyms. by Ziad M. Ali (12516532)

Subjects:

Performance assessment of Cell2Spatial in real ST data from various tissue types. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

RTC-F solar cell: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

Subjects:

DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf by Rosaleen A. Calvert (10039787)

“…This permits additional flexibility within the Fc region, which has been exploited by nature to modulate antibody effector functions. …”

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

Characterization of cell distribution in mouse kidney and renal cell carcinoma (RCC) tissues using Cell2Spatial. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

Comparative analysis of cell-cell communication networks between NC and GC samples. by Xiangxin Wu (22320058)

Subjects:

Cell-cell communication in the tumor microenvironment. by Yanfeng Xue (465345)

Subjects: “…Cell Biology…”

Risk Groups Immune Infiltration Analysis by ssGSEA Algorithm. by Yongling Wang (13261656)

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

Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

Mean and standard deviation of MLP classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. by Salem A. Alyami (10572611)

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. by Devi Soorya Narayana Sasikumar (22331743)

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Perturbations and their effects within networks. by Matthew Aguirre (9558032)

“…<b>(D)</b> KO effects as a function of network distance between two genes, and <b>(E)</b> within and across modules given by the generating algorithm. …”

Identification of hub DE-SRGs. by Xihao Shen (20347942)

Subjects: “…Cell Biology…”

Wilcoxon p-value of the en-CSA vs baseline algorithms for CEC2020. by Sarah A. Alzakari (19704611)

Subjects: