PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Genomics & Informatics10.5808/gi.2019.17.3.e302019173e30Deep learning for stage prediction in neuroblastoma using gene expression dataAron Park, Seungyoon Namhttp://genominfo.org/upload/pdf/gi-2019-17-3-e30.pdf, http://genominfo.org/journal/view.php?doi=10.5808/GI.2019.17.3.e30, http://genominfo.org/upload/pdf/gi-2019-17-3-e30.pdf
10.21203/rs.3.rs-719143/v12021Feasibility Study of Deep Learning Based Radiation Sensitivity Prediction Model Using Gene Expression ProfilingEuidam Kim, Yoonsun Chunghttps://www.researchsquare.com/article/rs-719143/v1, https://www.researchsquare.com/article/rs-719143/v1.html
BMC Bioinformatics10.1186/s12859-022-04689-92022231Prediction of lung cancer using gene expression and deep learning with KL divergence gene selectionSuli Liu, Wu Yaohttps://link.springer.com/content/pdf/10.1186/s12859-022-04689-9.pdf, https://link.springer.com/article/10.1186/s12859-022-04689-9/fulltext.html, https://link.springer.com/content/pdf/10.1186/s12859-022-04689-9.pdf
BMC Bioinformatics10.1186/s12859-022-04807-72022231Assessment of deep learning and transfer learning for cancer prediction based on gene expression dataBlaise Hanczar, Victoria Bourgeais, Farida Zehraouihttps://link.springer.com/content/pdf/10.1186/s12859-022-04807-7.pdf, https://link.springer.com/article/10.1186/s12859-022-04807-7/fulltext.html, https://link.springer.com/content/pdf/10.1186/s12859-022-04807-7.pdf
2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)10.1109/icitech50181.2021.95901772021Cancer Stage Prediction From Gene Expression Data Using Weighted Graph Convolution NetworkAhmed Elmahy, Sherin Aly, Fayek Elkhwskyhttp://xplorestaging.ieee.org/ielx7/9588928/9590100/09590177.pdf?arnumber=9590177
Deep Learning for Medical Applications with Unique Data10.1016/b978-0-12-824145-5.00014-92022107-122Early prediction of heart disease using deep learning approachHarshvardhan Tiwarihttps://api.elsevier.com/content/article/PII:B9780128241455000149?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780128241455000149?httpAccept=text/plain
Lecture Notes on Data Engineering and Communications Technologies10.1007/978-981-16-7610-9_402022541-552Prediction of Carcinoma Cancer Type Using Deep Reinforcement Learning Technique from Gene Expression DataA. Prathik, M. Vinodhini, N. Karthik, V. Ebenezerhttps://link.springer.com/content/pdf/10.1007/978-981-16-7610-9_40
Molecular Omics10.1039/d0mo00042f202117166-71Prediction of cancer dependencies from expression data using deep learningNitay Itzhacky, Roded Sharanhttp://pubs.rsc.org/en/content/articlepdf/2021/MO/D0MO00042F
The Computer Journal10.1093/comjnl/bxab1582021Squirrel Search Deer Hunting-Based Deep Recurrent Neural Network for Survival Prediction Using PAN-Cancer Gene Expression DataRamachandro Majji, R Rajeswari, Ch Vidyadhari, R Cristinhttp://academic.oup.com/comjnl/advance-article-pdf/doi/10.1093/comjnl/bxab158/41064523/bxab158.pdf, http://academic.oup.com/comjnl/advance-article-pdf/doi/10.1093/comjnl/bxab158/41064523/bxab158.pdf
2019 IEEE International Conference on Big Data (Big Data)10.1109/bigdata47090.2019.90063422019Stock Prediction using Deep Learning and Sentiment AnalysisYichuan Xu, Vlado Keseljhttp://xplorestaging.ieee.org/ielx7/8986695/9005444/09006342.pdf?arnumber=9006342