Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis
Abstract Background Non-small cell lung cancer (NSCLC) with activating EGFR mutations, especially exon 19 deletions and the L858R point mutation, is particularly responsive to gefitinib and erlotinib. However, the sensitivity varies for less common and rare EGFR mutations. There are various explanat...
Main Authors: | Bin Zou, Victor H. F. Lee, Hong Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-03-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2093-6 |
Similar Items
-
A Report on Multilinear PCA Plus GTDA to Deal With Face Image
by: Zhang Fan, et al.
Published: (2016-03-01) -
The ways of erlotinib resistance overcoming in treatment of patients with eGFr mutated nsClC
by: S V Orlov
Published: (2013-12-01) -
On the Multilinear Fractional Transforms
by: Öznur Kulak
Published: (2021-04-01) -
Extensions of multilinear mappings to powers of linear spaces
by: T.V. Vasylyshyn
Published: (2016-12-01) -
Multilinear EigenECGs and FisherECGs for Individual Identification from Information Obtained by an Electrocardiogram Sensor
by: Yeong-Hyeon Byeon, et al.
Published: (2018-10-01)