Gene set differential analysis of time course expression profiles via sparse estimation in functional logistic model with application to time-dependent biomarker detection.
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Identification of potential new treatment response markers and therapeutic targets using a Gaussian process-based method in lapatinib insensitive breast cancer models.Computer-aided biomarker discovery for precision medicine: data resources, models and applications.Feature selection for high-dimensional temporal data.
P2860
Gene set differential analysis of time course expression profiles via sparse estimation in functional logistic model with application to time-dependent biomarker detection.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
@zh-my
2015年学术文章
@zh-sg
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name
Gene set differential analysis ...... dependent biomarker detection.
@en
type
label
Gene set differential analysis ...... dependent biomarker detection.
@en
prefLabel
Gene set differential analysis ...... dependent biomarker detection.
@en
P2093
P2860
P356
P1433
P1476
Gene set differential analysis ...... dependent biomarker detection.
@en
P2093
Hidetoshi Matsui
Mitsunori Kayano
Rui Yamaguchi
Satoru Miyano
Seiya Imoto
P2860
P304
P356
10.1093/BIOSTATISTICS/KXV037
P577
2015-09-28T00:00:00Z