Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. حسب Jiaqing Luo (10975030)

"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"

Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

Combination performance of each single caller and combination strategy in detecting DELs and INSs. حسب De-Min Duan (20685513)

SV detection workflow. حسب De-Min Duan (20685513)

The SVs detected by six SV callers. حسب De-Min Duan (20685513)

An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma حسب Wanyuan Ruan (13763851)

"…Furthermore, through performing reviewing clinical characters and IHC analysis, we found HCC tissues from our research group with high risk score exhibited more cases of microsatellite instability (MSI), heavier tumor mutational burden (TMB), higher expression level of PDL1 and cells with CD8.</p> <p>Conclusions: The signature constructed by seven IAF-genes including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 can act as a biomarker for optimizing the diagnosis, prognosis evaluation and immunotherapy options in HCC patients.…"

DataSheet_1_A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma.doc حسب Jiahao Gao (7799222)

"…Purpose<p>To construct a novel radiogenomics biomarker based on hypoxic-gene subset for the accurate prognostic prediction of clear cell renal cell carcinoma (ccRCC).…"

Parameter settings. حسب Yang Cao (53545)

"…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …"

DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx حسب Jinzhi Lai (6856568)

"…<p>Background: The chemokine signaling pathway plays an essential role in the development, progression, and immune surveillance of lung squamous cell carcinoma (LUSC). Our study aimed to systematically analyze chemokine signaling-related genes (CSRGs) in LUSC patients with stage I–III disease and develop a prediction model to predict the prognosis and therapeutic response.…"

Summary of steps in iterative point set registration for scRNA-seq data. حسب Amir Alavi (9569337)

Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model حسب Changhao Ge (22410399)

Results of the realignment of a PV ISH coronal slice to the Nissl volume. حسب Dimitri Rodarie (10148838)

The overview of the proposed method. حسب Sepideh Zununi Vahed (9861298)

Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx حسب Xiaopeng Zhan (4170574)

"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"

Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf حسب Xiaopeng Zhan (4170574)

"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. حسب Zhengdong Wang (35299)

Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX حسب Qiang-Sheng Wang (12641971)

"…<p>Background: Multiple myeloma (MM) is characterized by abnormal proliferation of bone marrow clonal plasma cells. Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…"