Computational biology, cancer genomics, Next Generation Sequencing, long-read sequencing, repetitive DNA (non-B structures, tandem repeat expansions), dark genome (centromeres, telomeres), genome assembly and alignment, pangenomes, machine learning + AI for multi-omics, drug discovery
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Princess Margaret Cancer Research Centre
- Toronto, ON
- https://www.alexanderturco.com/
- in/alexander-turco-400369163
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ATACseq_TCGA_prediction
ATACseq_TCGA_prediction PublicMachine learning Cancer Type Classification for ATACseq cancer data from TCGA database.
Jupyter Notebook
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DeepNucNet
DeepNucNet PublicNuclei detection and segmentation deep learning project for graduate level AI course (Biomedical Applications of Artificial Intelligence)
Python
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annota-bed
annota-bed PublicFast and easy annotation of BED files for quick contextual genomic analysis
TypeScript
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MBP1201H-Biostatistics
MBP1201H-Biostatistics PublicFinal project for graduate level biostatistics course. Applying biostatistical methods to answer research hypotheses based on a heart disease dataset.
Jupyter Notebook
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ont-nb-DNA
ont-nb-DNA PublicThis repository is home to a variety of scripts and resources utilized for processing and analyzing Oxford Nanopore Sequencing Data to explore Non-B DNA Structures
Jupyter Notebook
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SignalWeave
SignalWeave PublicA weakly supervised, interpreatable AML Risk Scoring Framework
Jupyter Notebook
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