DataSheet_1_The Molecular Mechanism of Multiple Organ Dysfunction and Targeted Intervention of COVID-19 Based on Time-Order Transcriptomic Analysis.zip by Miao Zou (11198049)

Subjects:

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Table 1_Development and validation of machine learning models for MASLD: based on multiple potential screening indicators.docx by Hao Chen (5190)

Image 1_Identification of immune-related biomarkers linked to systemic lupus erythematosus and dilated cardiomyopathy through integrated bioinformatics analysis and multiple machin... by Gaijie Li (20454743)

Table 4_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.docx by Qiying Song (11199899)

Table 2_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.docx by Qiying Song (11199899)

Table 1_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.xlsx by Qiying Song (11199899)

Table 3_Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer.xlsx by Qiying Song (11199899)

An integrative analysis based on multiple cell death patterns identifies an immunosuppressive subtype and establishes a prognostic signature in lower-grade glioma by Hao Lian (419566)

“…However, the comprehensive role of the multiple forms of cell death in lower-grade glioma (LGG) is unknown.…”

Bimodal Tactile Sensor without Signal Fusion for User-Interactive Applications by Xiaole Ma (4392814)

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis by Mustafa Sertbas (18211859)

“…Cerebral dysfunctions give rise to a wide range of neurological diseases due to the structural and functional complexity of the human brain stemming from the interactive cellular metabolism of its specific cells, including neurons and glial cells. …”

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis by Mustafa Sertbas (18211859)

“…Cerebral dysfunctions give rise to a wide range of neurological diseases due to the structural and functional complexity of the human brain stemming from the interactive cellular metabolism of its specific cells, including neurons and glial cells. …”

Supplementary Material for: 2019 European Thyroid Association Guidelines on the Management of Thyroid Dysfunction following Immune Reconstitution Therapy by Muller I. (4263328)

“…Thyroid dysfunction (TD) frequently occurs as an autoimmune complication of immune reconstitution therapy (IRT), especially in individuals with multiple sclerosis treated with alemtuzumab, a pan-lymphocyte depleting drug with subsequent recovery of immune cell numbers. …”

Table 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.xls by Tao Wang (12008)

“…Then, key candidate genes were further screened using 113 machine learning algorithms and their diagnostic value was evaluated using ROC curve analysis across multiple datasets. …”

Image 1_Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.tif by Tao Wang (12008)

“…Then, key candidate genes were further screened using 113 machine learning algorithms and their diagnostic value was evaluated using ROC curve analysis across multiple datasets. …”

Data_Sheet_1_Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks.pdf by Beethika Tripathi (6451523)

“…Lastly, we demonstrate, with justification, that “overlapping” community detection algorithms should be the preferred choice for disease module identification since several genes participate in multiple biological functions.…”

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

“…Similarly, in the subsequent prognostic model, the high-scoring group had a worse prognosis and a higher probability of T-cell dysfunction, immunotherapy resistance, and cancer cell self-renewal. …”

Data Sheet 1_Exploring the molecular mechanisms of phthalates in the comorbidity of preeclampsia and depression by integrating multiple datasets.zip by Xinpeng Tian (646275)

“…These genes were enriched in immune-related signaling pathways, including the B-cell receptor and NOD-like receptor pathways. Aberrant proportions of naïve CD4⁺ T cells were observed, and gene expression correlated with specific immune-cell populations. …”

MTSviewer output for PINK1. by Andrew N. Bayne (9696871)