Combination therapy design for maximizing sensitivity and minimizing toxicity.

about

Heterogeneity Aware Random Forest for Drug Sensitivity Prediction.Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).In silico drug combination discovery for personalized cancer therapy.

P2860

Q41201459-EE26736C-02F4-4498-B577-6C82B0EAC9C4 Q42369439-27765EEE-EE57-4DBE-82E3-ED871A50BD2F Q51737315-8FC35111-C6DB-44FA-9909-58A83B4D340F

P2860

Combination therapy design for maximizing sensitivity and minimizing toxicity.

Item

http://www.wikidata.org/entity/Q36329307

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@ast

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@en

type

Item

label

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@ast

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@en

prefLabel

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@ast

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@en

P1476

Combination therapy design for maximizing sensitivity and minimizing toxicity.

@en

P2093

Charles Keller

http://www.w3.org/2001/XMLSchema#string

Kevin Matlock

http://www.w3.org/2001/XMLSchema#string

Noah Berlow

http://www.w3.org/2001/XMLSchema#string

P2860

Search algorithms as a framework for the optimization of drug combinations.

An ensemble based top performing approach for NCI-DREAM drug sensitivity prediction challenge

Functionally defined therapeutic targets in diffuse intrinsic pontine glioma

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

A community effort to assess and improve drug sensitivity prediction algorithms.

Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells.

Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm.

A new approach for prediction of tumor sensitivity to targeted drugs based on functional data

Systematic discovery of multicomponent therapeutics.

P2888

s12859-017-1523-1

P304

116

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/S12859-017-1523-1

http://www.w3.org/2001/XMLSchema#string

P433

Suppl 4

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Ranadip Pal

P577

2017-03-22T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1084249913

http://www.w3.org/2001/XMLSchema#string

P698

28361667

http://www.w3.org/2001/XMLSchema#string

P932

5374708

http://www.w3.org/2001/XMLSchema#string

Combination therapy design for maximizing sensitivity and minimizing toxicity.

about

P2860

P2860

Combination therapy design for maximizing sensitivity and minimizing toxicity.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932