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References from Genomic pan-cancer classification using image-based deep learning. Local targets link to admitted publications; unresolved targets remain external evidence.
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Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
2020 · External reference
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond
2020 · External reference
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A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
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Predicting cancer tissue-of-origin by a machine learning method using DNA somatic mutation data
10.3389/fgene.2020.00674 · 2020 · External reference
TOOme: a novel computational framework to infer cancer tissue-of-origin by integrating both gene mutation and expression
2020 · External reference
An enhanced deep learning approach for brain cancer MRI images classification using residual networks
10.1016/j.artmed.2019.101779 · 2020 · External reference
Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas
10.3174/ajnr.a5667 · 2018 · External reference
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Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer
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Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data
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2019 · External reference
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Unresolved reference
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Unresolved reference
2016 · External reference
Unresolved reference
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Unresolved reference
External reference
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2014 · External reference
Olfactory receptors as biomarkers in human breast carcinoma tissues
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Focal adhesion kinase controls aggressive phenotype of androgen-independent prostate cancer
10.1158/1541-7786.mcr-08-0052 · 2008 · External reference
Identification of the key genes and pathways in prostate cancer
2018 · External reference
Activation of Rap1 promotes prostate cancer metastasis
10.1158/0008-5472.can-08-4269 · 2009 · External reference
Platelet activation, coagulation and angiogenesis in breast and prostate carcinoma
10.1160/th03-11-0679 · 2004 · External reference
HIF-1α and calcium signaling as targets for treatment of prostate cancer by cardiac glycosides
10.2174/156800909789760249 · 2009 · External reference
10.1002/(sici)1097-0045(19970215)30:3<167::aid-pros4>3.0.co;2-j
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10.1158/1078-0432.ccr-08-0125
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Targeted therapy for advanced prostate cancer: inhibition of the PI3K/Akt/mTOR pathway
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10.1016/j.bbrc.2003.09.132 · External reference
A systematic study of the impact of estrogens and selective estrogen receptor modulators on prostate cancer cell proliferation
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Estrogen receptor signaling in prostate cancer: implications for carcinogenesis and tumor progression
10.1002/pros.23446 · 2018 · External reference
Changes in extracellular matrix (ECM) and ECM-associated proteins in the metastatic progression of prostate cancer
10.1186/1477-7827-2-2 · 2004 · External reference
Identification of key genes and multiple molecular pathways of metastatic process in prostate cancer
10.7717/peerj.7899 · 2019 · External reference
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10.1371/journal.pone.0021650 · 2011 · External reference
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Renin-angiotensin system is an important factor in hormone refractory prostate cancer
10.1002/pros.20407 · 2006 · External reference
Role of the renin–angiotensin system in prostate cancer
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