Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

الموضوعات:

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

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm حسب Z.Y. Algamal (5547620)

"…The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …"

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

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

"…<p>It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"