{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T04:47:28Z","timestamp":1746679648201,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/icccnt49239.2020.9225353","type":"proceedings-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T20:00:38Z","timestamp":1602792038000},"page":"1-5","source":"Crossref","is-referenced-by-count":16,"title":["Feature Selection from Microarray Data based on Deep Learning Approach"],"prefix":"10.1109","author":[{"given":"Nabendu","family":"Bhui","sequence":"first","affiliation":[]},{"given":"Pintu Kumar","family":"Ram","sequence":"additional","affiliation":[]},{"given":"Pratyay","family":"Kuila","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"109577","volume":"137","author":"kilicarslan","year":"2020","journal-title":"Diagnosis and classification of cancer using hybrid model based on relieff and convolutional neural network Medical Hypotheses"},{"key":"ref11","first-page":"22086","volume":"7","author":"xu","year":"2019","journal-title":"A novel deep flexible neural forest model for classification of cancer subtypes based on gene expression data IEEE Access"},{"key":"ref12","first-page":"28936","volume":"6","author":"zhang","year":"2018","journal-title":"Integrating Feature Selection and Feature Extraction Methods with Deep Learning to Predict Clinical Outcome of Breast Cancer"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICOASE.2018.8548836"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/02522667.2019.1703260"},{"key":"ref15","first-page":"78533","volume":"7","author":"almugren","year":"2019","journal-title":"A survey on hybrid feature selection methods in microarray gene expression data for cancer classification IEEE Access"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2015.2474384"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2014.2375820"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873634"},{"key":"ref19","first-page":"120","volume":"13","author":"wang","year":"2012","journal-title":"A folded neural network autoencoder for dimensionality reduction Procedia Computer Science"},{"key":"ref4","first-page":"15149","volume":"98","author":"ramaswamy","year":"0","journal-title":"Multiclass cancer diagnosis using tumor gene expression signatures Proceedings of the National Academy of Sciences"},{"key":"ref3","first-page":"3185","volume":"20","author":"pochet","year":"2004","journal-title":"Systematic benchmarking of microarray data classification assessing the role of non-linearity and dimensionality reduction Bioinformatics"},{"key":"ref6","first-page":"13","volume":"59","author":"lv","year":"2016","journal-title":"A multi-objective heuristic algorithm for gene expression microarray data classification Expert Systems with Applications"},{"key":"ref5","first-page":"265","volume":"16","author":"abadi","year":"0","journal-title":"Tensorflow A system for large-scale machine learning in 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI)"},{"key":"ref8","first-page":"61136","volume":"7","author":"de souza","year":"2019","journal-title":"Dimensionality reduction in gene expression data sets IEEE Access"},{"key":"ref7","first-page":"224","volume":"90","author":"mohamed","year":"2017","journal-title":"Metaheuristic approach for an enhanced mrmr filter method for classification using drug response microarray data Expert Systems with Applications"},{"key":"ref2","first-page":"102","volume":"77","author":"chan","year":"2016","journal-title":"Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme Computers in biology and medicine"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.06.057"},{"key":"ref9","first-page":"46278","volume":"7","author":"mallick","year":"2019","journal-title":"Brain MRI Image Classification for Cancer Detection using Deep Wavelet Autoencoder based Deep Neural Network"},{"key":"ref20","first-page":"37","volume":"1","author":"wang","year":"2005","journal-title":"Gene selection from microarray data for cancer classification - a machine learning approach Computational biology and chemistry 29"},{"journal-title":"Understand data normalization in machine learning - towards data science","year":"0","key":"ref21"}],"event":{"name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","start":{"date-parts":[[2020,7,1]]},"location":"Kharagpur, India","end":{"date-parts":[[2020,7,3]]}},"container-title":["2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9211590\/9225262\/09225353.pdf?arnumber=9225353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:07:12Z","timestamp":1656374832000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9225353\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icccnt49239.2020.9225353","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}