[HTML][HTML] Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer

F Liang, S Wang, K Zhang, TJ Liu… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders

T Gu, X Zhao - Scientific reports, 2019 - nature.com
Clear cell renal cell carcinoma (ccRCC) is highly heterogeneous and is the most lethal
cancer of all urologic cancers. We developed an unsupervised deep learning method …

Feature selection, machine learning and deep learning algorithms on multi-modal omics data

S Das, S Ghosh, S Mallik, G Qin - … Intelligence Technologies for …, 2022 - taylorfrancis.com
Emergence of feature selection technique as a chronic and promising research topic has
created profound impact on the advancement of bioinformatics in our techno-equipped …

Model-agnostic interpretation of cancer classification with multi-platform genomic data

O Oni, S Qiao - Proceedings of the 10th ACM International Conference …, 2019 - dl.acm.org
Machine learning models are often criticised for being black-boxes. Recent work in this field
has aimed to address this criticism by developing methods to explain the underlying …

Prediction of battery remaining useful life on board satellites using logical analysis of data

AM Ahmed, A Salama, HA Ibrahim… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Lithium ion batteries are an advanced technology that satisfies most requirements of a
space mission. Due to the high cost of satellites and their launch and operation processes …

Exploring microRNA regulation of cancer with context-aware deep cancer classifier

B Pyman, A Sedghi, S Azizi, K Tyryshkin… - … 2019: Proceedings of …, 2018 - World Scientific
Background: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene
expression through post-transcriptional silencing. Differential expression observed in …

R-pathcluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine

T Mallavarapu, Y Kim, JH Oh… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Glioblastoma multiforme (GBM) is the most fatal malignant type of brain tumor with a very
poor prognosis with a median survival of around one year. Numerous studies have reported …

Nilarun Mukherjee

S Sengupta - Artificial Intelligence Technologies for …, 2022 - books.google.com
Diabetic Retinopathy (DR) is the damage of the micro-vascular system in the retina, due to
prolonged hyperglycemia and blockages or clots that are formed due to high level of …

Identifying Cancer Subtypes Using Unsupervised Deep Learning

T Mallavarapu - 2018 - digitalcommons.kennesaw.edu
Glioblastoma multiforme (GBM) is the most fatal malignant type of brain tumor with a very
poor prognosis with a median survival of around one year. Numerous studies have reported …

Deep Cancer Classifier: Exploring microRNA Regulation of Cancer with Deep Learning

B Pyman - 2018 - search.proquest.com
Background: MicroRNAs (miRNAs) are small, non-coding RNAs that negatively regulate
gene expression. Differential expression observed in miRNAs, combined with …