返回首页 |  帮助中心  |  English 
浏览站内成果
站内成果搜索: 搜索
  • Identification and validation of biomarkers related to Th1 cell infiltration in neuropathic pain
  • Identification of imidazo[4,5-c]pyridin-2-one derivatives as novel Src family kinase inhibitors against glioblastoma
  • Identification of Piperlongumine as Potent Inhibitor of Necroptosis
  • Identification and Functional Characterization of Metabolites for Bone Mass in Peri- and Postmenopausal Chinese Women
  • Identification of a novel ANK1 mutation in hereditary spherocytosis co-existing with BWS
  • Identification of lysine acetylome of oral squamous cell carcinoma by label-free quantitative proteomics
  • Identification of a c-type heme oxygenase and its function during acclimation of cyanobacteria to nitrogen fluctuations
  • Identification of differentially expressed genes and signaling pathways in human conjunctiva and reproductive tract infected with Chlamydia trachomatis
  • Identification of eight genomic protective alleles for mitochondrial diabetes by Kinship-graph convolutional network
  • Identification of a novel six autophagy-related genes signature for the prognostic and a miRNA-related autophagy predictor for anti-PD-1 therapy responses in prostate cancer
  • Identification of ferroptosis-related molecular subtypes and a methylation-related ferroptosis gene prognostic signature in cervical squamous cell carcinoma
  • Identifying potential signatures for atherosclerosis in the context of predictive, preventive, and personalized medicine using integrative bioinformatics approaches and machine-learning strategies
  • Identification and validation of a signature involving voltage-gated chloride ion channel genes for prediction of prostate cancer recurrence
  • Identification of potential genetic causal variants for obesity-related traits using statistical fine mapping
  • Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm
  • Identification of novel inhibitors for SARS-CoV-2 as therapeutic options using machine learning-based virtual screening, molecular docking and MD simulation
  • Identification of the diagnostic genes and immune cell infiltration characteristics of gastric cancer using bioinformatics analysis and machine learning
  • Identification of key phenolic compounds responsible for antioxidant activities of free and bound fractions of blackberry varieties' extracts by boosted regression trees
  • Idarubicin plus BuCy versus BuCy conditioning regimens for intermediate-risk acute myeloid leukemia in first complete remission undergoing auto-HSCT: An open-label, multicenter, randomized phase 3 trial
  • Identifying patients with cognitive motor dissociation using resting-state temporal stability
  • Identification of autonomous nonlinear dynamical system based on discrete-time multiscale wavelet neural network
  • Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
  • Identifying Coexisting Attractors and Quantifying Dynamics Characteristics of DC-DC Converter Based on Improved Variational Mode Decomposition and Wavelet Transform
  • Identification and characterization of SaeIF1 from the eukaryotic translation factor SUI1 family in cadmium hyperaccumulator Sedum alfredii
  • Identifying influential nodes in complex contagion mechanism
  • Identification of pyroptosis-related subtypes and comprehensive analysis of characteristics of the tumor microenvironment infiltration in clear cell renal cell carcinoma
  • Identification of immune cell infiltration and effective biomarkers of polycystic ovary syndrome by bioinformatics analysis
  • Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy
  • Identifying prognostic biomarker related to immune infiltration in acute myeloid leukemia
  • Identification and validation of stemness-based and ferroptosis-related molecular clusters in pancreatic ductal adenocarcinoma
  • Identification of the length and location of the A1 pulley combining palpation technique with palm landmarks: a cadaveric study
  • Identification of an effective fraction from Ampelopsis Radix with anti-dengue virus activities in vitro and in vivo
  • Identification of Blood Exosomal miRNA-1246, miRNA-150-5p, miRNA-5787 and miRNA-8069 as Sensitive Biomarkers for Hepatitis B Virus Infection
  • Identification and Auto-Debiased Machine Learning for Outcome-Conditioned Average Structural Derivatives
  • Identifying optimal position for a fish collection system for endemic fishes in Hong River, China
  • Identification of haemolytic anaemia caused by glucose phosphate isomerase deficiency in a thalassaemia-endemic region: Correction of misdiagnosis and consideration of the cause of misdiagnosis
  • Identification of differentially expressed genes at the single-cell level and prognosis prediction through bulk RNA sequencing data in breast cancer
深圳市科研之友网络服务有限公司 粤B2-20110417 粤公网安备 4403052000213粤ICP备16046710号
隐私政策 | 服务条款 | 联系我们