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Aarthi Venkat's Projects

aanet icon aanet

Archetypal Analysis network (AAnet)

beeline icon beeline

BEELINE: evaluation of algorithms for gene regulatory network inference

bioinformatics-experimental-design icon bioinformatics-experimental-design

Advanced Bioinformatics Lab is a class at UCSD with a focus on bioinformatics experimental design. I have completed six weeks of projects and designed my own experiment to examine differential gene expression with respect to chloroquine resistance in Plasmodium falciparum for the final project.

cadd-scripts icon cadd-scripts

CADD scripts release for offline scoring. For more information about CADD, please visit our website

dyngen icon dyngen

Simulating single-cell data using gene regulatory networks 📠

gene-network-graphs icon gene-network-graphs

Leveraging genes known to be associated with gene of interest for target gene expression

mapping-string-to-genesymbol icon mapping-string-to-genesymbol

Simple script that helps in transforming interactions from the STRING DB so that they have Official Gene Symbols (using the mapping files on the string-db website).

molecular-string-analysis-algorithms icon molecular-string-analysis-algorithms

Molecular Sequencing Analysis is a class at UCSD teaching algorithmic design in bioinformatics with DNA string input. The class covers sequence/motif alignment, assembly de Brujin graphs, and clustering algorithms, among other topics.

predictive-modeling icon predictive-modeling

Recommender Systems and Web Mining is a machine learning class designed to teach and test Python implementation of recommender systems, data mining, and predictive analytics. For my final project, I was required to identify and write a predictive task with a large dataset (>50,000 datapoints). As such, I wrote a multi-class text classification script to classify PubMed abstracts by GO term

scprep icon scprep

A collection of scripts and tools for loading, processing, and handling single cell data.

twitter-covid icon twitter-covid

Assessing Differential Sentiment across Counties through Crisis Progression

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