Image 3_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff حسب Jared Lichtarge (20548571)

"…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"

Image 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.jpeg حسب Jared Lichtarge (20548571)

"…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"

Image 4_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff حسب Jared Lichtarge (20548571)

"…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"

Image 2_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff حسب Jared Lichtarge (20548571)

"…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.…"

Executable Power: Syntax as Infrastructure in Predictive Societies حسب Agustin V. Startari (21179732)

Results for Scenarios 5-8 with simulated datasets, censoring distribution , and target inspired from [31] that imitates the SI distribution of smallpox. The first column contains t... حسب Oswaldo Gressani (13933254)

Results for Scenarios 13-16 with simulated datasets, -coarseness with , and target inspired from [31] that imitates the SI distribution of influenza A. The first column contains th... حسب Oswaldo Gressani (13933254)

Effect of Mitophagy Score on Immunotherapy for Different Datasets. حسب Jie Chu (293795)

Functional and Structural Characterization of Mechanosensitive Piezo1 Channel in Disease حسب Sophia Liu (722004)

"…AF3 predictions closely matched known protein structures (r.m.s.d. < 0.5), and in-silico mutagenesis revealed that several variants caused cavity alterations, hydrogen bond or salt bridge disruptions, and buried-to-exposed transitions. However, most algorithms struggled to distinguish gain-of-function (GoF) from loss-of-function (LoF) variants, with GoF variants showing lower pathogenicity scores despite clinical relevance.…"

Results for Scenarios 9-12 with simulated datasets, censoring distribution , and target inspired from [31] that imitates the SI distribution of influenza A. The first column contai... حسب Oswaldo Gressani (13933254)

Partial behavioral switching. حسب Hiroyuki Ichijo (13891153)

Map of selected datasets from ASL [26]. حسب Peixin Niu (12330204)

"…<div><p>Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. …"

GMM-KVS method flowchart. حسب Jingnan Yan (20727331)

"…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"

Collected demonstration trajectories. حسب Jingnan Yan (20727331)

"…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"

Schematic diagram of the elbow method. حسب Jingnan Yan (20727331)

"…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"

Attribute matrix example. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

Original data example. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

Experimental hardware and software environment. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"