[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 …
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
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 …
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
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 …
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 …
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 …
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
Background: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene
expression through post-transcriptional silencing. Differential expression observed in …
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 …
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 …
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 …
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 …
gene expression. Differential expression observed in miRNAs, combined with …