Drug combination synergy prediction with minimal set of experiments for high-throughput combinatorial screening
|
Login
Aaltodoc
→
1b Maisterivaiheen opinnäytetyöt / Master’s theses
→
[dipl] Perustieteiden korkeakoulu / SCI
→
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Drug combination synergy prediction with minimal set of experiments for high-throughput combinatorial screening
Title:
Drug combination synergy prediction with minimal set of experiments for high-throughput combinatorial screening
Author(s):
Ianevski, Aleksandr
Date:
2018-08-20
Language:
en
Pages:
45
Major/Subject:
Bioinformatics
Degree programme:
Master’s Programme in Life Science Technologies
Supervising professor(s):
Rousu, Juho
Thesis advisor(s):
Aittokallio, Tero
Keywords:
bioinformatics
,
drug combinations
,
machine learning
,
web application
Location:
Archive
OEV
»
Show full item record
Permanent link to this item:
http://urn.fi/URN:NBN:fi:aalto-201809034889
Email this
Export to RefWorks
QR Code
Print
BibTex
Tweet
Files in this item
Files
Size
Format
View
There are no open access files associated with this item.
This item appears in the following Collection(s)
[dipl] Perustieteiden korkeakoulu / SCI
[4458]
Search archive
Search archive
This Collection
Advanced Search
Submit a publication
Submit a publication
»
Browse
All of archive
Collections
By Issue Date
Authors
Titles
Subjects
Keywords
Departments
This Collection
By Issue Date
Authors
Titles
Subjects
Keywords
Departments
Statistics
View Usage Statistics