53 skills found · Page 2 of 2
simonorozcoarias / ML DL MicroArraysHere, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario
cran / LimmaLinear Models for Microarray Data
HenrikBengtsson / Aroma.affymetrix🔬 R package: Analysis of Large Affymetrix Microarray Data Sets
yesesri / AgilentMicroarray analysis of agilent data
Ylefol / TimeSeriesAnalysisLongitudinal Transcriptomic TimeSeriesAnalysis is a transcriptomic analysis tool for both RNA sequencing and microarray data
AI-Biotechnology-Bioinformatics / Microarray Series RMicroarray Data Analysis in R: A repository providing tutorials and workflows for R-based microarray data analysis and machine learning techniques.
tarlaun / BioInf ProjectBioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
jdrubin91 / GeneLab MicroarrayStandardized processing pipeline for microarray data on GeneLab
hagenaue / BrainInABlenderAn R package that allows the user to estimate the relative cell type balance in brain cortical samples using microarray or RNAseq data as presented in the manuscript "INFERENCE OF CELL-TYPE COMPOSITION FROM HUMAN BRAIN TRANSCRIPTOMIC DATASETS ILLUMINATES THE EFFECTS OF AGE, MANNER OF DEATH, DISSECTION, AND PSYCHIATRIC DIAGNOSIS"
ahmedmoustafa / Gene Expression DatasetsCollection of gene expression datasets
jcrudy / CONORR packages for cross-platform normalization of microarray data
Tejindersingh1 / Tumor Prediction With MLTumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
QUST-AIBBDRC / RL GenSVMFeature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
Sashkow / Placenta Preeclampsiadata base of microarray experiments on preeclamptic placenta tissue
sysbio-vo / Article MicroarraysDirect integration of microarray data — R scripts for comparing different microarray annotations and probesets selection for cross-platform direct data integration
wyp1125 / SAS Biostat ToolsSAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.
bintangbuntoro / DBNMicroarrayClassification for microarray data such as breast cancer, leukemia ALL-AML, lung cancer, colon tumor, and ovarian cancer using deep belief network algorithm.
BhuvaneshRavi / Disease Prediction ModelA prediction model that uses genetic data for disease classification. Data is extracted from a DNA microarray which measures the expression levels of large numbers of genes simultaneously.
shyammarjit / SAGASAGA: Simulated annealing aided genetic algorithm for gene selection from microarray data
renatosantos98 / Ont BenchmarkSupporting data for the publication "Investigating the performance of Oxford Nanopore long-read sequencing with respect to Illumina microarrays and short-read sequencing"
