Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

"…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …"

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

"…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …"

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

"…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …"

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

"…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …"

Validation of IDRAS on a model of bacterial growth and division. حسب Ron Teichner (21492434)

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx حسب Jingjing Chen (293564)

"…</p>Methods<p>We integrated placental transcriptomic data from two datasets (GSE75010, GSE10588) to systematically investigate ribosome biogenesis dysregulation in preeclampsia. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

DFT-Based Calculation of the Vibrational Sum Frequency Generation Spectrum of Noncentrosymmetric Domains Interspersed in an Amorphous Matrix حسب Juseok Choi (13516495)

"…The same principle can also be utilized for selective detection of crystalline domains of biopolymers interspersed inside amorphous bulk phases of natural materials, but quantitative interpretation of SFG spectral features of such systems has been challenging due to the difficulty of how the spectral features can vary as a function of various structural parameters. Here, we present a theoretical simulation-based approach utilizing polarizability and dipole derivative tensors obtained from density functional theory (DFT), circumventing the difficulty and limitation of assuming the local symmetry of specific vibrational modes. …"

Simultaneous Inference for Monotone and Smoothly Time-Varying Functions Under Complex Temporal Dynamics حسب Tianpai Luo (22145637)

"…The first is the simultaneous inference of monotone smooth trends from moderately high-dimensional time series. The proposed algorithm has been employed for the joint inference of temperature curves from multiple areas. …"

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf حسب Gabriella Yakemow (20137758)

"…MAD scores were calculated from pCASL data and ABS scores were calculated from structural T₁-MRI images. …"

Comparison to STM on specific datasets. حسب Nicholas A. Rondoni (21573261)