20 datasets found

The dataset used in this paper is a real-world bacterial data set, specifically the response of the bacterium E. coli to a glucose pulse.

The GTEx consortium dataset contains gene expression measurements for skeletal muscle tissue.

The dataset used in this paper is a database of 1191 whole genome gene expression experiments in biopsy captured tissue from primary breast cancer patients and healthy controls.

The curatedOvarianData dataset contains gene expression data for ovarian cancer.

The dataset used in this paper is a curated breast cancer gene expression data set.

The epsilon dataset is a collection of 50,000 text documents, each containing a single sentence.

Controlling Gene Expression with Deep Generative Design of Regulatory DNA

Gene expression data from HumanHT-12 expression beadchip V3.0

Methylation data from the NCBI Gene Expression Omnibus

A dataset for predicting gene expression from genomic sequence using deep convolutional neural networks.

The dataset used in this study collects RNA-Seq gene expression profiles of 498 neuroblastoma patients.

The dataset is used for gene expression microarray data and contains 7129 genes from 38 patients with either acute myeloid leukemia or acute lymphoblastic leukemia.

The dataset used in this paper is the Genomics of Drug Sensitivity in Cancer (GDSC) database, which contains gene expression and drug IC50 data for over a thousand genetically...

The L1000 perturbations dataset contains gene expression data for 1000 genes in 19 drugs.

The Genomics of Drug Sensitivity in Cancer (GDSC) dataset contains gene expression data for 700 cancer cell lines and 138 drugs. The Cancer Cell Line Encyclopedia (CCLE) dataset...

The scRNA-seq dataset is a collection of single-cell RNA sequencing data.

Single-cell gene expression data from mouse spermatogenesis.

The dataset used in the paper is a collection of RNA-Seq gene expression profiles from human tissue.

The Pan-Cancer Atlas project provides a comprehensive analysis of cancer genomics data, including gene expression, mutation, and copy number variation data.

Gene expression datasets typically have thousands of features. We use the following five gene expression datasets for feature selections: GLI, Colon (COL), Myeloma (ELO), Breast...