miRNA-ensemble Files

Brought to you by: pyzdblab

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
README.txt	2016-09-09	279 Bytes	0
miGCM.arff	2016-09-09	100.3 kB	0
miGCM.csv	2016-09-09	96.0 kB	0
brca_dblc_paad_prad.arff	2016-09-09	606.3 kB	0
brca_dblc_paad_prad.csv	2016-09-09	583.8 kB	0
Totals: 5 Items		1.4 MB	0

brca_dblc_paad_prad (d1 in the manuscript) was collected from The Cancer Genome Atlas (TCGA).

miGCM (d2 in the manuscript) data was first published by Lu et al. (2005). The original data has been preprocessed by removing samples in the cancers that include fewer than 9 samples.

Source: README.txt, updated 2016-09-09

Other Useful Business Software

Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

Try free now

Easily Host LLMs and Web Apps on Cloud Run

Run everything from popular models with on-demand NVIDIA L4 GPUs to web apps without infrastructure management.

Run frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.

Try Cloud Run Free

Recommended Projects

sRNAWorkbench
The UEA sRNA Workbench
GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
CupidTool
Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks
diauxic growth model ensemble
An ensemble of models showing diauxic growth behavior
Java Machine Learning Library
Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...

Gen AI apps are built with MongoDB Atlas

Atlas offers built-in vector search and global availability across 125+ regions. Start building AI apps faster, all in one place.

Try Free →

miRNA-ensemble Files

Get an email when there's a new version of miRNA-ensemble