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ai_generated_conotoxins

This repository contains algorithms to generate artificial conotoxins

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

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.

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)

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).

d3

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

datascience30min

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

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.

deepplay

DeepPlay explores athlete records in the world of competitive freediving

dl_molecules_and_materials

flowingdata

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

generacion_de_texto

grampa_structural_landscape

Mapping the structural landscape of medium-large peptide datasets

mit6.s191_labs

ml-guided-discovery-and-design-of-non-hemolytic-peptides

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

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).

plissonf.github.io

Personal academic website

rdkit

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

reac2vac

Your Doctor's Guide to Vaccine Adverse Events

riiaa5.0_workshop

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

scikit-learn

scikit-learn: machine learning in Python

stat453-deep-learning-ss21

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

structure-aware-ml-for-amp-discovery

Assessing structural landscape, biases and effects upon ML-driven peptide prediction

tf_tutorials