Functional analysis of DEK/NUP214 interacting complexes. by Claudia Chiriches (14014550)

Table1_Effects of cardiac function alterations on the risk of postoperative thrombotic complications in patients receiving endovascular aortic repair.DOCX by Xiaoning Sun (255857)

“…Relative risks for thrombus formation were identified using machine-learning algorithms.…”

Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

Subjects:

Image_1_Immune Infiltration-Related Signature Predicts Risk Stratification and Immunotherapy Efficacy in Grade II and III Gliomas.JPEG by Cong Luo (789538)

“…The functional analyses were estimated by GVSA and Gene Set Enrichment Analysis (GSEA) algorithms. …”

Image_2_Immune Infiltration-Related Signature Predicts Risk Stratification and Immunotherapy Efficacy in Grade II and III Gliomas.JPEG by Cong Luo (789538)

“…The functional analyses were estimated by GVSA and Gene Set Enrichment Analysis (GSEA) algorithms. …”

Image_3_Immune Infiltration-Related Signature Predicts Risk Stratification and Immunotherapy Efficacy in Grade II and III Gliomas.JPEG by Cong Luo (789538)

“…The functional analyses were estimated by GVSA and Gene Set Enrichment Analysis (GSEA) algorithms. …”

Table_1_Immune Infiltration-Related Signature Predicts Risk Stratification and Immunotherapy Efficacy in Grade II and III Gliomas.XLSX by Cong Luo (789538)

“…The functional analyses were estimated by GVSA and Gene Set Enrichment Analysis (GSEA) algorithms. …”

Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

“…In addition, our algorithms are much faster than the state-of-the-art, allowing the analysis of large datasets of thousands of target profiles from cancer cell lines. …”

Genetic algorithm flowchart. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

The result for the risk assessment on German credit risk. by Jiaqing Huang (5018492)

Subjects:

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx by Fatima Wardi (22052360)

“…The extracted parameters for each case study are used to reconstruct the I–V and power–voltage (P–V) characteristic curves for the respective solar cell and photovoltaic module technologies. To validate the performance and efficiency of the algorithm, various statistical criteria are computed, including individual absolute error (IAE), relative error (RE), root mean square error (RMSE), mean absolute error (MAE), standard deviation (SD), tracking signal (TS), normalized forecast measure (NFM), and the autocorrelation function (ACF). …”

Comparison of immune cell infiltration between high-risk and low-risk sample groups. by Changquan Shang (21647625)

Skeletonisation algorithm. by Jordan Hembrow (16908051)

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

Data_Sheet_1_A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series.ZIP by Paolo Castiglioni (4488004)

“…Analyzing long physiological signals (heart-rate tachograms from a 24-h Holter recording and electroencephalographic traces from a sleep study), we illustrate its capability to provide high-resolution α(q,n) surfaces that better describe the multifractal/multiscale properties of time series in physiology. The proposed fast algorithm might, therefore, make it easier deriving richer information on the complex dynamics of clinical signals, possibly improving risk stratification or the assessment of medical interventions and rehabilitation protocols.…”