Name: Vinicius Franceschi
Type: User
Company: Imperial College London (@mrc-ide)
Bio: 👨💻🧬 Research Assistant (Imperial College London @mrc-ide 🇬🇧)
Bioinformatician (MSc & BSc 🇧🇷)
Twitter: vinibfranceschi
Location: London, United Kingdom
Blog: https://www.linkedin.com/in/vinicius-bonetti-franceschi/
Vinicius Franceschi's Projects
Some activities developed in 2017/1 with Java Language.
Some activities developed in the first semester of the Biomedical Informatics course of UFCSPA (learning to program :D)
Backend of "Portal of Biomedical Informatics" developed in Project Management classes.
Blood and platelet donation database developed as the final paper of Database subject.
Algorithm developed in C language which uses the trapezoids method of numerical integration.
Clustering documents using Kmeans, DBScan and Hierarchical algorithms in Python.
Project I - Machine Learning class: Finding the best parameter configuration for K-Means and Agglomerative Clustering using mall customer segmentation data
This project consists on a convolutional neural network developed using Keras and TensorFlow to correct classify Lung Cancer and other tumors.
Codes developed for Signal Processing.
Models of COVID-19 outbreak trajectories and hospital demand
Paper 1 developed for the discipline of Computer Networks and Distributed Systems Fundamentals that simulates the occupation and the treatment of collisions implemented in IEEE 802.3 (Ethernet).
Data Science Course with theoretical and practical (Python and R) classes.
Complete PHP Course.
Differential Gene Expression examples using main tools available
Final paper of Imaging Diagnosis, which consists on extracting DICOM metadata from Computed Tomography scans of patients with suspect of lung cancer.
Examples using Django integrated with different JavaScript frontend frameworks
Tutorial de análise metagenômica para detecção de patógeno viral, predição e anotação funcional de genes em amostra de neuroinfecção.
Metarhizium transcriptomic analysis performed during my internship at Cbiot (UFRGS)
Learning the JavaScript Language for Web Development.
Tutorial de análise metagenômica para detecção de patógenos e identificação de genes bacterianos de resistência e virulência em amostras de neuroinfecções
Python web learning using Django framework.
Experiments for the mlscluster paper using SARS-CoV-2 data
MySleep application for night-time sleep monitoring and extraction of respiratory events.
The mySleep project portal, built with yii2 framework and AdminLTE administration theme.
Nextstrain build for novel coronavirus SARS-CoV-2
Paper 2 of the discipline of Computer Networks, whose objective is to implement a client-server application that collects amino acids from the other colleagues through the network to compose the sequence of the Serum albumin protein.
Find correspondent genes between species based on DEG data, functional annotation and orthology
Clinical patient registration using JavaScript and JSON.