Gene expression analysis using machine learning

Gene expression analysis using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiske detaljer
Hovedforfatter:	Mostafa, Naﬁs
Andre forfattere:	Ajwad, Rasif
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Gene expression PCA Autoencoder GeCuMiDa database Machine Learning
Online adgang:	http://hdl.handle.net/10361/15337

Lignende værker

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Study on human emotion based on facial expressions through human machine communication
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Identifying the best metrics to find the best quality clusters of genes from gene expression data
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Udgivet: (2019)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
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Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
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Performance analysis of different machine learning approaches for single modal facial expression detection
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A study of Osteosarcoma gene profile
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Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
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A comparative study of Environment Risk Assessment (ERA) guidelines of developing and developed countries including Bangladesh
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LRFS: online shoppers’ behavior based efficient customer segmentation model
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Heart disease prediction using machine learning algorithms
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Demystifying machine learning models for IOT attack detection with explainable AI
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Predicting climate induced floods using machine learning
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Public vehicle ETA system using machine learning
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Predicting depression in Bangladeshi undergraduates using machine learning
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Speech emotion detection using supervised, unsupervised and feature selection algorithms
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Examination of huntington’s disease with atypical clinical features in a Bangladeshi family tree and study of association of miRNAs expression level with the diseased condition
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Inference of gene regulatory metwork (GRN) rrom gene expression data using k-means clustering and entropy based selection of interactions
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An efficient facial expression recognition method using mean And standard deviation
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A review on RNAi technology and its therapeutic potential in Cancer
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Detection and prediction of epileptic seizure using different machine learning classifiers
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Voice recognition using machine learning and central database to enhance security system
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Decoding the functional roles of intronic microRNA miR-2355 and its host gene KLF7 in immunobiology of cervical cancer
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Behavior change analysis due to violent video gaming using deep learning models
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Customer satisfaction to Expressions Limited
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Prediction of diabetes induced complications using different machine learning algorithms
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A machine learning approach to detect depression and anxiety using supervised learning
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Use of gestures and facial expression in language acquisition
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Handwritten character recognition and prediction of age, gender and handedness using machine learning
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Bioinformatics analyses of key regulators of NF-κB pathway in relation with small cell lung carcinoma
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