Mitchel Tumuhimbise (Mitchel-collab)

Mitchel-collab

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Mitchel Tumuhimbise's starred repositories

design-of-experiments

A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.

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RNA-seq-analysis

RNAseq analysis notes from Ming Tang

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scRNAseq-analysis-notes

scRNAseq analysis notes from Ming Tang

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rsm

R package for response-surface methodology

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DIYtranscriptomics.github.io

The website for a semester-long 'do-it-yourself' (DIY) transcriptomics course

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SimpleTidy_GeneCoEx

A simple gene co-expression analyses workflow powered by tidyverse and graph analyses

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BI-BE-CS-183-2023

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

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pygran

A DEM toolkit for rapid simulation & quantitative analysis of granular systems

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bioc-intro

Bioconductor data science introduction

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GS-PRACTICE

Tumor genomic subtyping tool based on mutational signautures

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cancerclassifier_L

Exemplar project on how to create leukemia cancer classifier using Python and gene expression data via LGBM.

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sinto

Tools for single-cell data processing

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IsoformSwitchAnalyzeR

An R package to Identify, Annoatate and Visialize Isoform Switches with Functional Consequences (from RNA-seq data)

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cshl_rstats_genome_scale_2023

CSHL Statistical Analysis of Genome Scale Data 2023

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hierarchical-clustering

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

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getting-started-with-genomics-tools-and-resources

Unix, R and python tools for genomics and data science

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CancerTypePrediction

This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

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DeepDR

Predicting drug response of tumors from integrated genomic profiles by deep neural networks

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ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

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ads1-slides

Slides for Algorithms for DNA Sequencing Coursera class

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deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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bioinf-python

Python for Bioinformatics

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UCSCXenaTools

:package: An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/

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MachineLearning_notes

Machine learning and deep learning resources

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Cancer_notes

A continually expanding collection of cancer genomics notes and data

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TCGAsurvival

Scripts to analyze TCGA data

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go

The Open Source Data Science Masters

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