shilpasy Goto Github PK
Name: Shilpa
Type: User
Twitter: shilpayadahalli
Location: Toronto
Name: Shilpa
Type: User
Twitter: shilpayadahalli
Location: Toronto
"Analysis of differential gene expression with DESeq in R Notebook"
Collection of examples and applications demonstrating the use of autoencoders in bioinformatics
A sample repo on deploying to Binder
Targeting intracellular pathways with peptide drugs is becoming increasingly desirable but often limited in application due to their poor cell permeability. Understanding cellular permeability of peptides remains a major challenge with very little structure-activity relationship known. Fortunately, there exist a class of peptides called Cell-Penetrating Peptides (CPPs), which have the ability to cross cell membranes and are also capable of delivering biologically active cargo into cells. Discovering patterns that make peptides cell-permeable have a variety of applications in drug delivery. In the current study, we build prediction models for CPPs exploring features covering a range of properties based on amino acid sequences, using Random forest classifiers which are often more interpretable than other ensemble machine learning algorithms. While obtaining prediction accuracies of ~96%, we also interpret our prediction models using TreeInterpreter, LIME and SHAP to decipher the contributions of important features and optimal feature space for CPP class. We propose that our work might offer an intuitive guide for incorporating features that impart cell-penetrability into the design of novel CPPs.
Integrative analysis of single-cell multi-omics data using deep learning
The data was obtained from Torontopolice of Ontario, Canada. This dataset includes all Major Crime Indicators (MCI) occurrences by reported date and various other details related to location, day and time of the crime. Based on this feature, I attempt to predict which the category of crime
Basic template for using Flask on Render
Membrane helix prediction with SVMs
Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling
In this tutorial, we will be looking at a dataset of PBMCs. PBMCs are like the army of immune cells that live in our blood and fight off any invaders like viruses or bacteria. We will look at standard preprocesing workflow of sc-RNAseq data, normalization, clustering,
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.