RDF:
Abscisic Acid Signaling Network
Abscisic Acid Signaling Network

The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme.

The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme.

ข้อมูลและทรัพยากร

  • plantCellSignaling.data

  • plantCellSignaling.names

  • Abscisic Acid Signaling Network.jsonJSON

ข้อมูลเพิ่มเติม

ฟิลด์ ค่า
ผู้แต่ง MCI Machine Learning Repository
Last Updated สิงหาคม 18, 2021, 13:40 (CST)
สร้างแล้ว สิงหาคม 18, 2021, 13:40 (CST)
Area "Life"
Associated Tasks "Causal-Discovery"
Attribute Characteristics "Integer"
DPA_DateImported 212301319
DPA_former_id 9483a822-025f-43c4-89e6-34b34ee4a777
DPA_former_name abscisic-acid-signaling-network
DPA_former_owner_org aac07418-7ef8-49ab-b0b2-e4e75a5379fe
DPA_former_site https://scidm.nchc.org.tw
Data Set Characteristics "Multivariate"
Date Donated "2008-04-03"
Missing Values "N/A"
Number of Instances "300"
Number of Web Hits "45694"
Number_of_Attributes "43"
AODP Economy Taiwan