Genetic Algorithm (GA) and CAGE-based personalization block diagrams. حسب Dmitrii Smirnov (8822324)

Comparison of presented algorithm precision to Bot et al. حسب Dmitrii Smirnov (8822324)

DataSheet_1_Comparative analysis of assembly algorithms to optimize biosynthetic gene cluster identification in novel marine actinomycete genomes.docx حسب Daniela Tizabi (10297654)

DataSheet_2_Comparative analysis of assembly algorithms to optimize biosynthetic gene cluster identification in novel marine actinomycete genomes.pdf حسب Daniela Tizabi (10297654)

Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. حسب Danish M. Anwer (15383441)

Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

Indels characterization algorithm development and benchmark with simulated data and real data. حسب Marta Sanvicente-García (12306659)

Data_Sheet_1_Transcriptome-based selection and validation of optimal reference genes in perirenal adipose developing of goat (Capra hircus).zip حسب Le Zhao (483824)

Clusters characteristics: Mean Cluster Error (MCE) and Standard Distance (SDist). حسب Dmitrii Smirnov (8822324)

Random mutation direction in multi-dimensional parameter space. حسب Dmitrii Smirnov (8822324)

Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX حسب ShiJian Ding (11764646)

Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX حسب ShiJian Ding (11764646)

Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX حسب ShiJian Ding (11764646)

Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX حسب ShiJian Ding (11764646)

Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. حسب Konstantina Charmpi (9901053)

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

"…After inserting the gene expression into the risk model, we found that the risk model exhibited the higher diagnostic value for distinguish HCC tissues compared each single gene. …"

Data_Sheet_1_Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3.pdf حسب Danlei Ru (13521910)

"…The performance of 4 feature optimization methods and 10 machine learning (ML) algorithms were compared, followed by building the XAI based on the SHapley Additive exPlanations (SHAP). …"

Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…After that, 6 optimal PRGs (GSDMC, IL-18, CHMP3, TP63, GZMB and CHMP6) were screened out to construct a prognostic signature, which divide BRCA patients into two risk groups. …"

Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…After that, 6 optimal PRGs (GSDMC, IL-18, CHMP3, TP63, GZMB and CHMP6) were screened out to construct a prognostic signature, which divide BRCA patients into two risk groups. …"