A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
Incorporating machine learning into established bioinformatics frameworks
N Auslander, AB Gussow, EV Koonin - International journal of molecular …, 2021 - mdpi.com
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …
Computational oncology in the multi-omics era: state of the art
G de Anda-Jáuregui, E Hernández-Lemus - Frontiers in oncology, 2020 - frontiersin.org
Cancer is the quintessential complex disease. As technologies evolve faster each day, we
are able to quantify the different layers of biological elements that contribute to the …
are able to quantify the different layers of biological elements that contribute to the …
Computational techniques and tools for omics data analysis: state-of-the-art, challenges, and future directions
The heterogeneous and high-dimensional nature of omics data presents various challenges
in gaining insights while analysis. In the era of big data, omics data is available as genome …
in gaining insights while analysis. In the era of big data, omics data is available as genome …
Toward a standardized strategy of clinical metabolomics for the advancement of precision medicine
Despite the tremendous success, pitfalls have been observed in every step of a clinical
metabolomics workflow, which impedes the internal validity of the study. Furthermore, the …
metabolomics workflow, which impedes the internal validity of the study. Furthermore, the …
Diagnostic accuracy of blood-based biomarkers for pancreatic cancer: a systematic review and meta-analysis
Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate below 5%.
Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for …
Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for …
Chromogranin-A expression as a novel biomarker for early diagnosis of colon cancer patients
Colon cancer is one of the major causes of cancer death worldwide. The five-year survival
rate for the early-stage patients is more than 90%, and only around 10% for the later stages …
rate for the early-stage patients is more than 90%, and only around 10% for the later stages …
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …
[Retracted] Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents
A Alqahtani - Evidence‐Based Complementary and Alternative …, 2022 - Wiley Online Library
Spectacular developments in molecular and cellular biology have led to important
discoveries in cancer research. Despite cancer is one of the major causes of morbidity and …
discoveries in cancer research. Despite cancer is one of the major causes of morbidity and …
Mining prognosis index of brain metastases using artificial intelligence
This study is to identify the optimum prognosis index for brain metastases by machine
learning. Seven hundred cancer patients with brain metastases were enrolled and divided …
learning. Seven hundred cancer patients with brain metastases were enrolled and divided …