A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer
Introduction Metabolomics is an emerging approach for early detection of cancer. Along with
the development of metabolomics, high-throughput technologies and statistical learning, the …
the development of metabolomics, high-throughput technologies and statistical learning, the …
Identifying cancer targets based on machine learning methods via Chou's 5-steps rule and general pseudo components
R Liang, J Xie, C Zhang, M Zhang… - Current topics in …, 2019 - ingentaconnect.com
In recent years, the successful implementation of human genome project has made people
realize that genetic, environmental and lifestyle factors should be combined together to …
realize that genetic, environmental and lifestyle factors should be combined together to …
Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis
Background More accurate diagnostic methods are pressingly needed to diagnose breast
cancer, the most common malignant cancer in women worldwide. Blood-based …
cancer, the most common malignant cancer in women worldwide. Blood-based …
Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer
In this study, an attempt has been made to identify expression-based gene biomarkers that
can discriminate early and late stage of clear cell renal cell carcinoma (ccRCC) patients. We …
can discriminate early and late stage of clear cell renal cell carcinoma (ccRCC) patients. We …
Machine learning analysis of TCGA cancer data
J Liñares-Blanco, A Pazos… - PeerJ Computer …, 2021 - peerj.com
In recent years, machine learning (ML) researchers have changed their focus towards
biological problems that are difficult to analyse with standard approaches. Large initiatives …
biological problems that are difficult to analyse with standard approaches. Large initiatives …
Extracellular vesicles isolated from human renal cell carcinoma tissues disrupt vascular endothelial cell morphology via azurocidin
K Jingushi, M Uemura, N Ohnishi… - … journal of cancer, 2018 - Wiley Online Library
Cancer‐associated extracellular vesicles (EVs) are intimately involved in establishment of
tumor microenvironment and occurrence of metastasis. However, previous studies have …
tumor microenvironment and occurrence of metastasis. However, previous studies have …
[HTML][HTML] Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis
Human clear cell renal cell carcinoma (ccRCC) is the most common solid lesion within
kidney, and its prognostic is influenced by the progression covering a complex network of …
kidney, and its prognostic is influenced by the progression covering a complex network of …
Monoisotopic silver nanoparticles-based mass spectrometry imaging of human bladder cancer tissue: Biomarker discovery
K Ossoliński, T Ruman, T Ossoliński… - Advances in Medical …, 2023 - Elsevier
Purpose Bladder cancer (BC) is the 10th most common form of cancer worldwide and the
2nd most common cancer of the urinary tract after prostate cancer, taking into account both …
2nd most common cancer of the urinary tract after prostate cancer, taking into account both …
Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma
Abstract Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations
in disease progression and clinical outcomes. The advent of next generation sequencing …
in disease progression and clinical outcomes. The advent of next generation sequencing …
Predicting kidney discard using machine learning
M Barah, S Mehrotra - Transplantation, 2021 - journals.lww.com
Background. Despite the kidney supply shortage, 18%–20% of deceased donor kidneys are
discarded annually in the United States. In 2018, 3569 kidneys were discarded. Methods …
discarded annually in the United States. In 2018, 3569 kidneys were discarded. Methods …