Results 281 to 290 of about 560,921 (309)
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Integrated SERS-Vertical Flow Biosensor Enabling Multiplexed Quantitative Profiling of Serological Exosomal Proteins in Patients for Accurate Breast Cancer Subtyping.

ACS Nano, 2023
Protein profiles of exosomes (EXOs) in clinical samples of cancer patients have become a promising diagnostic and therapeutic biomarker. However, simultaneous quantitative analysis of multiple exosomal proteins of interest remains challenging. To address
Xiao-Ming Su   +6 more
semanticscholar   +1 more source

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data

Bioinform., 2021
MOTIVATION The discovery of cancer subtyping can help explore cancer pathogenesis, determine clinical actionability in treatment, and improve patients' survival rates.
Hai Yang   +3 more
semanticscholar   +1 more source

Coercive subtyping: Theory and implementation [PDF]

open access: yesInformation and Computation, 2013
International audienceCoercive subtyping is a useful and powerful framework of subtyping for type theories. The key idea of coercive subtyping is subtyping as abbreviation.
T Xue
exaly   +2 more sources

Molecular subtyping of small cell lung cancer.

Seminars in Cancer Biology, 2022
Small cell lung cancer (SCLC), originating from lung neuroendocrine stem cells, is a common pulmonary malignant tumor. SCLC, with poor prognoses, accounts for approximately 13-15% of all lung cancer cases.
Jie Liang   +4 more
semanticscholar   +1 more source

Impact of Molecular Subtyping and Immune Infiltration on Pathological Response and Outcome Following Neoadjuvant Pembrolizumab in Muscle-invasive Bladder Cancer.

European Urology, 2020
BACKGROUND The PURE-01 study (NCT02736266) evaluated the use of pembrolizumab before radical cystectomy (RC) in muscle-invasive bladder cancer (MIBC).
A. Necchi   +25 more
semanticscholar   +1 more source

Molecular intrinsic versus clinical subtyping in breast cancer: A comprehensive review

Clinical Genetics, 2020
Breast cancer is a heterogeneous disease manifesting diversity at the molecular, histological and clinical level. The development of breast cancer classification was centered on informing clinical decisions.
Agata Szymiczek, Amna Lone, M. Akbari
semanticscholar   +1 more source

Patient Subtyping via Time-Aware LSTM Networks

Knowledge Discovery and Data Mining, 2017
Inci M. Baytas   +5 more
semanticscholar   +1 more source

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