plissonf/plissonf.github.io

Personal academic website

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plissonf/GRAMPA_structural_landscape

Mapping the structural landscape of medium-large peptide datasets

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plissonf/scikit-learn Fork of scikit-learn/scikit-learn

scikit-learn: machine learning in Python

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plissonf/ML-guided-discovery-and-design-of-non-hemolytic-peptides

Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences

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plissonf/BBB-Models

Developed binary ensemble classifiers to predict the Blood-Brain Barrier (BBB) permeability of small organic compounds. Applied our best models to natural products of marine origin, able to inhibit kinases associated with neurodegenerative disorders.

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plissonf/RIIAA5.0_Workshop

RIIAA 5.0 Taller - aplicaciones de Machine Learning al diseño de proteínas y fármacos.

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plissonf/generacion_de_texto Fork of joshuahm/generacion_de_texto

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plissonf/AI_generated_conotoxins

This repository contains algorithms to generate artificial conotoxins

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plissonf/Deep_Mutational_Scanning

Deep Mutational Scanning function generates a single-point mutation upon a given sequence with a defined list of amino acids. Heatmap display shows the results from predictive model(s) in a heatmap.

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plissonf/Bioavailable-Peptides

Mining the features that contribute to oral bioavailability in peptide middle space - sub-project from Postdoctoral position at the University of Queensland (Australia)

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plissonf/Analytics-Edge

Predicting which iPads listed on EBay will be sold Independent project - Kaggle competition as part of MIT course 15.071x The Analytic Edge

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plissonf/RDkit

Tutorial on the usage of Rdkit, Pandas, sklearn, machine learning, descriptor calculation, etc.. in the context of bioactivity predictive modeling

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plissonf/DataScience30min

Data Science in 30 Minutes - Example code for building a word2vec Neural Network in Python.

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plissonf/FlowingData

R tutorials in data visualisation by Nathan Yau (www.flowingdata.com)

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plissonf/MIT6.S191_Labs

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plissonf/DL_molecules_and_materials

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plissonf/stat453-deep-learning-ss21 Fork of rasbt/stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

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plissonf/TF_tutorials

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plissonf/DeepPlay

DeepPlay explores athlete records in the world of competitive freediving

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plissonf/Phylogenomics_SARS-CoV-2_Mexico

Incidences, covariances and positions of 315 mutations of concern in 1552 viral sequences of SARS-CoV-2 (pre-vaccination period: late 2019-February 2021).

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plissonf/BreastCancerCell-Classification

I looked at a popular dataset from the Breast Cancer Wisconsin Dataset, downloaded from UC Irvine Machine Learning Repository where my goal was to develop a classification model that predicts whether a biopsied breast cell is benign (not harmful) or malignant (cancerous), given a set of attributes (features) about cells (observations).

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plissonf/Reac2Vac

Your Doctor's Guide to Vaccine Adverse Events

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plissonf/d3 Fork of d3/d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

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