Kristian Alikaj

Bioinformatics & C++

Global Alignment, Horspool Algorithm, Aho-Corasick- and Q-Gram Index Search, and more.

MULTI-OMICS Integration

I have hands-on experience in integrating and analyzing transcriptomics ,proteomics & metabolomics data, using bioinformatics tools to identify and understand molecular pathways, networks and interactions.

Pytorch/Deep Learning: ECG Silent Heart attacks

A machine learning project using Pytorch for health in AI. Skills gained during an Internship at the Berlin Institute of Health.

VCF (SNPs) Analysis App

A web application for analyzing VCF (Variant Call Format) files containing genetic variants such as SNPs (Single Nucleotide Polymorphisms), like variant type, chromosome, quality score distributions and interactive visualisations.

RNA Secondary Structure Predictor

Interactive tool for the prediction and visualization of RNA secondary structures, using dynamic programming. It predicts base pairing and generates a visual representation of the structure based on the input RNA sequence.

App: Phylogenetic Trees

A web app for constructing phylogenetic trees using various clustering methods and algorithms, like Hierarchical Clustering, the Neighbor-Joining algorithm, or Maximum Parsimony.

Diabetes Prediction

A web app to predict the risk of diabetes being trained on patient data. Backend with Python [Machine Learning] and Frontend with HTML/CSS via Flask.

Bioinformatics String App

Generate suffix arrays, BWT, and FM indices; translate DNA to protein sequences; perform global sequence alignments; and search patterns in text or FASTA files

App: ML-Pipeline Tool

A Streamlit app for end-to-end machine learning workflows, enabling data processing, model training (including neural networks), visualization, evaluation, and export via an interactive UI.

Vocal Health Detection

An AI-driven tool for vocal health assessment using deep learning to classify vocal conditions like Laryngozele and Vox senilis from audio recordings. This model uses LSTM networks and data augmentation to enhance diagnostic accuracy, providing a powerful support for medical audio diagnostics.

single-cell RNAseq

Interactive platform for processing and analyzing single-cell RNA sequencing data using Scanpy.

Single-Cell RNA Sequencing projects & analysis using R (Seurat), Python (Scanpy), as well as Julia.

Other Projects

Project for a web app connecting to a Postgres database, form submissions, and visualizations with Flask, Geopandas, Matplotlib, and Psycopg2, regarding bike theft in Berlin.

Deep Neural Network analysis for breast cancer diagnosis, using the WDBC dataset to classify breast masses as malignant or benign.