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  • Identification of pyroptosis-related immune signature and drugs for ischemic stroke
  • Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
  • Identification and analysis of key risk factors for prehospital delay in patients with stroke
  • Identification of mutational signature for lung adenocarcinoma prognosis and immunotherapy prediction
  • Identification of Genes Associated with Prognosis and Immunotherapy Prediction in Triple-Negative Breast Cancer via M1/M2 Macrophage Ratio
  • Identification of patients with acute coronary syndrome and representation of their degree of inflammation: application of pericoronary adipose tissue within different radial distances of the proximal coronary arteries
  • Identification of Adipocytokine Pathway-Related Genes in Epilepsy and Its Effect on the Peripheral Immune Landscape
  • Identifying and characterizing drug sensitivity-related lncRNA-TF-gene regulatory triplets
  • Identifying the nature of the QCD transition in heavy-ion collisions with deep learning
  • Identification and quantification of immune infiltration landscape on therapy and prognosis in left- and right-sided colon cancer
  • Identification of molecular patterns and diagnostic biomarkers in juvenile idiopathic arthritis based on the gene expression of m6A regulators
  • Identification of potential differentially methylated gene-related biomarkers in endometriosis
  • Identification of immune-related signatures and pathogenesis differences between thoracic aortic aneurysm patients with bicuspid versus tricuspid valves via weighted gene co-expression network analysis
  • Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
  • Identification of Copper Metabolism Related Biomarkers, Polygenic Prediction Model, and Potential Therapeutic Agents in Alzheimer's Disease
  • Identification of Key Genes Associated with Endothelial Cell Dysfunction in Atherosclerosis Using Multiple Bioinformatics Tools
  • Identification of Ferroptosis-related potential biomarkers and immunocyte characteristics in Chronic Thromboembolic Pulmonary Hypertension via bioinformatics analysis
  • Identifying individualized risk subpathways reveals pan-cancer molecular classification based on multi-omics data
  • Identification of cavitation state of centrifugal pump based on current signal
  • Identifying conditions for a third dose intention of COVID-19 vaccination in college students: A fuzzy-set qualitative comparative analysis
  • Identification and fine-mapping of Xo2, a novel rice bacterial leaf streak resistance gene
  • Identification of Biomarkers Associated with Diagnosis of Osteoarthritis Patients Based on Bioinformatics and Machine Learning
  • Identification and stability evaluation of polyphenol oxidase substrates of pineapple fruit
  • Identification of distinct gene co-expression modules and specific hub genes in skin lesions of atopic dermatitis and psoriasis by WGCNA
  • Identification and characterization of circRNAs in peri-implantation endometrium between Yorkshire and Erhualian pigs
  • Identifying the Effect of Nuanxin Capsules on Myocardial Injury Induced by Chronic Hypoxia via Network Pharmacology Analysis and Experimental Validation
  • Identification of novel cuproptosis-related lncRNA signatures to predict the prognosis and immune microenvironment of breast cancer patients
  • Identification of Molecular Subtypes Based on Tertiary Lymphoid Structure in Skin Cutaneous Melanoma
  • Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model
  • Identification of diagnostic signatures associated with immune infiltration in Alzheimer's disease by integrating bioinformatic analysis and machine-learning strategies
  • Identification and Validation of Immune-Related Long Non-Coding RNA Signature for Predicting Immunotherapeutic Response and Prognosis in NSCLC Patients Treated With Immunotherapy
  • Identification of immune subtypes of melanoma based on single-cell and bulk RNA sequencing data
  • Identifying the driver miRNAs with somatic copy number alterations driving dysregulated ceRNA networks in cancers
  • Identification of Chemical-Disease Associations Through Integration of Molecular Fingerprint, Gene Ontology and Pathway Information
  • Identification of Key Molecules in Recurrent Miscarriage Based on Bioinformatics Analysis
  • Identification of RNU44 as an Endogenous Reference Gene for Normalizing Cell-Free RNA in Tuberculosis
  • Identification of a Novel 15q21.1 Microdeletion in a Family with Marfan Syndrome
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