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aml-classification_using_flow_cytometry

The goal of the project is to predict AML or normal status of patients from flow cytometry data (single-cell). The samples were studied with flow cytometry to quantitate the expression of different protein markers. The challenge is to determine the state of health of the other half, based only on the provided flow cytometry data.

applied_linear_regression_mv

linear regression case study

bioinformatics_courses

A repository for maintaining assignments and projects, from courses done in bioinformatics and CB.

bmed-applied_ai

Biomedical (BMED) - applied health a.i. course | assignments, mid-term and final term projects covering deep learning topics

breast_cancer_benign_or_malignant

Predicting, if a breast cancer is benign or malignant using : UCI breast cancer dataset.

cf-movie_recommendation_system

A Movie - recommendation system built using @ MovieLens 100K Dataset , based on collaborative filtering & SVD.

charles_book_club-case_study

MIT_open-courseware (P1): This data set represents information associated with individuals who are members of a book club. Using customer data, predict if customers will purchase a book.

compgenomics-2021-team2_webserver

RApid Subtyping and Prediction for E coli. The web server developed by the Team for analysis of E coli.

compgenomics2021

Using un-assembled genome sequence data from the Centers for Disease Control and Prevention (CDC) proceed through five distinct stages of analysis and interpretation of that data: 1-genome assembly, 2-gene prediction, 3-functional annotation, 4-comparative genomics and 5-production of a predictive webserver.

covid19_genetic_risk

data_science_python

Data Science in Python by UM @ coursera

data_visualization

deep_learning_specialization_7

Deep Learning specialisation coursera courses and projects

dream_challenge-covid-19_ehr

DREAM challenge 2021 - To facilitate understanding risk factors that lead to a positive COVID-19 test utilizing electronic health recorded data mapped to the OMOP Common Data Model. UW Medicine clinical data sets also used. Submission for challenge part Q2.

ds_sql

UCD@coursera

gatk

Official code repository for GATK versions 4 and up

genomicspapers

The Leek group guide to genomics papers

grocery-calculator-app

grocery calculator app for reminding item list when low in quantity.

gsea-r

Methods for analysis of gene set enrichments, pathway analysis, gene ontologies, functional analysis of metabolomic profiling & understanding correlations and coexpression networks.

hackathons-and-challenges

human_protein_atlas_challenge-kaggle-2021

Submission of Human Protein Atlas - Single Cell Classification on Kaggle 2021. A weakly supervised multi-label classification problem.

kaggle_projects

Submissions for competitions on Kaggle.

machine-learning

ML course on coursera by AndrewNg.

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

music_genre_cnn

neural_network

Building from scratch neural networks in python.

pb-dataset-recommender_engine

Algorithms for NCBI, SRA, EBI datasets recommendation and how to get around with comparing your own Datasets. Recommender systems | Bio-NLP

practical_machine_learning_coursera

Human Activity Recognition(HAR) - Case Study : Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements, using Random forests classifier to quantify and predict best way to do exercise.

prog_in-biological_and_health_science

Solutions for day-to-day computational problems in biological and health sciences.

r_programming_coursera

R Programming (DS) - JH @ coursera