CS 234 Computational Methods for the Analysis of Biomolecular Data

This is a website where my project updates will be made.

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Arman Irani

UC Riverside

PhD Candidate

Research Interests
  • Machine Learning
  • Data Mining
  • Big Data
PCA & SVD

Implementing both Principle Component Analysis to Regress m/z and intensity values as well as SVD for dimensionality reduction.

Last updated March 16th, 2021

DNN vs. SVM

Implementing both Deep Neural Net and Support Vector Machine to compare both performances.

Last updated March 10th, 2021

Threshold based Peak Finding

Implementing and researching the benefits of CWT vs. Threshold based peak filtering to use only the most intense m/z values as features.

Last updated March 9th, 2021

Data Preprocessing

Reading large number of .txt files and modifying to include whether data is from the cancer set "1" or normal "0". Determination of datastructure, since data is not incredible large and complex, Pandas Dataframe will be the choice.

Last updated February 15th, 2021

Project Idea

Creating a deep learning classification algorithm to classify Ovarian Cancer in patients from Mass Spectrometry data.

Last updated February 13th, 2021