Anopheles Gambiae Resources by BCBB Apps (16412541)

“…This will ensure that the hyperlinks within the excel document function properly.</p></td></tr><tr><td><p dir="ltr">Apple MacOS</p></td><td><p dir="ltr">The .xls files found on this page contain hyperlinks to web sites (NCBI) and to sequence data files. …”

Image2_A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.TIF by Kemiao Yuan (15234703)

“…<p>The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the functionality of T cells within the immune system during prolonged conflicts with chronic infections or tumors. …”

Image3_A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.TIF by Kemiao Yuan (15234703)

“…<p>The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the functionality of T cells within the immune system during prolonged conflicts with chronic infections or tumors. …”

Image1_A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.TIF by Kemiao Yuan (15234703)

“…<p>The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the functionality of T cells within the immune system during prolonged conflicts with chronic infections or tumors. …”

Table1_A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.xls by Kemiao Yuan (15234703)

“…<p>The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the functionality of T cells within the immune system during prolonged conflicts with chronic infections or tumors. …”

Table2_A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.XLS by Kemiao Yuan (15234703)

“…<p>The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the functionality of T cells within the immune system during prolonged conflicts with chronic infections or tumors. …”

Table_1_Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational... by Bahia Hakiki (300235)

“…</p>Statistics<p>Advanced machine learning algorithms will be cross validated to achieve data-driven prediction models. …”

Table_2_Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational... by Bahia Hakiki (300235)

“…</p>Statistics<p>Advanced machine learning algorithms will be cross validated to achieve data-driven prediction models. …”

Dataset_Randomized Controlled Trial: Effect of isokinetic eccentric resistance training on strength, flexibility and muscle structure for the shoulder external rotator cuff muscles... by Sebastian Vetter (16670310)

“…Five days before and after the last training session, functional and structural parameters were examined for the dominant throwing shoulder using mDTI and an isokinetic dynamometer as described below. …”

Identification of potential circadian rhythm-related hub genes and immune infiltration in preeclampsia through bioinformatics analysis by Juan Tang (437969)

“…Molecular subtyping based on their expression revealed two PE subtypes with distinct immune infiltration patterns and biological functions. Regulatory network construction highlighted potential upstream mechanisms.…”

Data Sheet 1_Differential neuropilin isoform expressions highlight plasticity in macrophages in the heterogenous TME through in-silico profiling.docx by Hyun-Jee Han (20858765)

“…Datasets were processed using established bioinformatics pipelines, including clustering algorithms, to determine cellular heterogeneity and quantify NRP isoform expression within distinct macrophage populations. …”

Data Sheet 2_Differential neuropilin isoform expressions highlight plasticity in macrophages in the heterogenous TME through in-silico profiling.docx by Hyun-Jee Han (20858765)

“…Datasets were processed using established bioinformatics pipelines, including clustering algorithms, to determine cellular heterogeneity and quantify NRP isoform expression within distinct macrophage populations. …”

Elements: Libra: The Modular Software for Nonadiabatic and Quantum Dynamics by Alexey Akimov (8335290)

“…<p dir="ltr">Sustained progress in scientific endeavors in solar energy, functional, and nanoscale material sciences requires advanced methods and software components that can be used to model the complex dynamics of excited states, including charge and energy transfer. …”

<i>Entity:</i> Radiative General-Relativistic Particle-in-Cell Toolkit for Extreme Plasma Astrophysics by Hayk Hakobyan (19364736)

“…Entity is constructed within a general coordinate system defined by metric functions, enabling it to successfully tackle global models of compact object magnetospheres. …”

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

“…., 2022a), to estimate the spatiotemporal dynamics of SOC in different soil layers and further evaluate the impacts of different climate response functions on SOC estimates in the Qinling Mountains. …”

Table 5_MMPred: a tool to predict peptide mimicry events in MHC class II recognition.xlsx by Filippo Guerri (17017524)

“…To evaluate MMPred’s ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. …”

Table 3_MMPred: a tool to predict peptide mimicry events in MHC class II recognition.xlsx by Filippo Guerri (17017524)

“…To evaluate MMPred’s ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. …”

Table 6_MMPred: a tool to predict peptide mimicry events in MHC class II recognition.xlsx by Filippo Guerri (17017524)

“…To evaluate MMPred’s ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. …”

Table 2_MMPred: a tool to predict peptide mimicry events in MHC class II recognition.xlsx by Filippo Guerri (17017524)

“…To evaluate MMPred’s ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. …”

Table 4_MMPred: a tool to predict peptide mimicry events in MHC class II recognition.xlsx by Filippo Guerri (17017524)

“…To evaluate MMPred’s ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. …”