相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data
Subhasree Majumder et al.
JOURNAL OF HEALTHCARE ENGINEERING (2022)
Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data
Runpu Chen et al.
BIOINFORMATICS (2020)
A validation and extended description of the Lund taxonomy for urothelial carcinoma using the TCGA cohort
Nour-al-dain Marzouka et al.
SCIENTIFIC REPORTS (2018)
Predicting cancer type from tumour DNA signatures
Kee Pang Soh et al.
GENOME MEDICINE (2017)
Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer
A. Gordon Robertson et al.
CELL (2017)
An improved method to construct basic probability assignment based on the confusion matrix for classification problem
Xinyang Deng et al.
INFORMATION SCIENCES (2016)
Identification of Distinct Basal and Luminal Subtypes of Muscle-Invasive Bladder Cancer with Different Sensitivities to Frontline Chemotherapy
Woonyoung Choi et al.
CANCER CELL (2014)
EGFR as a potential therapeutic target for a subset of muscle-invasive bladder cancers presenting a basal-like phenotype
Sandra Rebouissou et al.
SCIENCE TRANSLATIONAL MEDICINE (2014)
SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS
Ronglai Shen et al.
ANNALS OF APPLIED STATISTICS (2013)
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
Christina Curtis et al.
NATURE (2012)
Hallmarks of Cancer: The Next Generation
Douglas Hanahan et al.
CELL (2011)
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker et al.
JOURNAL OF CLINICAL ONCOLOGY (2009)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)