A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery...
Filter results
Category
- (-) National Security (6)
- (-) Microbiome Science (1)
- Biology (6)
- Computing & Analytics (6)
- Scientific Discovery (6)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Human Health (5)
- Computational Mathematics & Statistics (1)
- Computational Mathematics & Statistics (1)
- Data Analytics & Machine Learning (1)
Content type
Tags
- (-) Synthetic (5)
- (-) Machine Learning (2)
- Omics (10)
- PerCon SFA (9)
- High Throughput Sequencing (8)
- Genomics (7)
- Sequencer System (5)
- Synthetic Biology (5)
- Proteomics (4)
- Mass Spectrometry (3)
- A. pittii SO1 (2)
- Amplicon Sequencing (2)
- Biological and Environmental Research (2)
- Cybersecurity (2)
- Electrical energy (2)
- Imaging (2)
- Long Read Sequencer (2)
- Mass spectrometry data (2)
- RNA Sequence Analysis (2)
- Sorghum bicolor (2)
- Spectroscopy (2)
- Statistical Expression Analysis (2)
- Whole Genome Sequencing (2)
- DOE (1)
- EBC (1)
- Exhaled Breath Condensate (1)
- High-Performance Computing (1)
- Output Databases (1)
- Quantification (1)
- TMT (1)
HDF5 file containing 10,000 hydraulic transmissivity inputs and the corresponding hydraulic pressure field outputs for a two-dimensional saturated flow model of the Hanford Site. The inputs are generated by sampling a 1,000-dimensional Kosambi-Karhunen-Loève (KKL) model of the transmissivity field...
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
Category
Datasets
1
Category
Datasets
7
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
Category
Datasets
1
Category
Datasets
1
This data was generated by the organization IvySys. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .edges, .rdf, or .csv; but all can be opened in a text editor. A good introduction to this data can be found in \Tutorial1\MAA...