Mayank Murali (MayankMurali)

MayankMurali

Geek Repo

Company:Broad Institute of MIT and Harvard

Location:Boston

Home Page:https://mayankmurali.github.io/

Twitter:@mayank_murali

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Mayank Murali's repositories

Drug-Disease-Prediction-and-its-Feature-Selection-Analysis

Term project for the course "Machine Learning and Pattern Recognition (CSE 583)".

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AirSense

Senses the temperature, humidity and gaseous component (in ppm) of the surrounding air. It links to thinkspeak and analyses it.

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bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

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Creating-a-Little-Operating-System

Developer, Objective-C, Linux, Linux Kernel · A basic Operating System with features such as interrupts, memory management, output screening etc with the help of the book "Little OS"

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digital-image-processing

This repository contains code for various tranformations needed in image processing

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Making-a-C-compiler

The aim of this project was to create a compiler capable of processing C code and converting it into Low Level Virtual Machine (LLVM) assembly code. This was achieved through the use of the LEX Lexical Analysis Package and YACC Parsing Packing on Linux to get to the optimized intermediate three address code. An assembler coded on Python was used to convert the intermediate code to the LLVM assembly.

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Bioinformatics-with-Deep-Learning

What's my understanding of Bioinformatics and the application of Deep Learning in bioinformatics

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Books

Free Ebooks

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Intro-to-ChIPseq

Intro to ChIPseq using HPC

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MayankMurali

My personal repository.

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MayankMurali.github.io

Personal Website

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my-stand

Online Potpourri is a platform where all genres of entertainment, literature , art and many other topics are discussed online. The objective is not just for time pass but also to increase the knowledge of a person in a entertaining way. Different collection of topics make the site attractive. From films to the latest released novels can be discussed and debated here.

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nf_training

Nextfow training repo

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Performance-Analysis-of-Machine-Learning-Models-to-Predict-Bitcoin-Value

Application of machine learning classifiers such as Naive Bayes, Random Forest Tree and SVM on a health care dataset to compare the efficiency based on factors such as accuracy, precision and classification time on Anaconda tool. The dataset was obtained by measuring the heart-beat and body temperature using Arduino and sensors.

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Python

All Algorithms implemented in Python

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resume-BIO

My latest Bioinformatics based resume

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resume-SE

My latest Software Engineering based resume

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sqtl_pipeline

Pipeline to map sQTLs to protein isoforms

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the-book-of-secret-knowledge

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

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