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All Software 8 Big Data Infrastructure 1 Bioinformatics 1 DASCLAB Original Tools 1 Data Science & AI 1 Database Systems 1 Deep Learning 1 Reproducible Research 1 Statistical Computing 1
8 tools
R / RStudio query_stats

R / RStudio

Primary statistical computing environment for all DASCLAB courses and research.

4.3+ View Details arrow_forward
Python 3 code

Python 3

Deep learning, NLP, and data engineering pipelines across all lab projects.

3.11+ View Details arrow_forward
MySQL / PostgreSQL database

MySQL / PostgreSQL

Relational database systems for structured clinical and research data.

8.0+ / 15+ View Details arrow_forward
PyTorch / TensorFlow model_training

PyTorch / TensorFlow

Neural network frameworks for deep learning research and deployment.

2.0+ / 2.13+ View Details arrow_forward
Apache Spark / Hadoop electric_bolt

Apache Spark / Hadoop

Distributed big data processing for genomics and large-scale analytics.

3.4+ / 3.3+ View Details arrow_forward
Quarto / R Markdown description

Quarto / R Markdown

Reproducible research reports, academic papers, and interactive dashboards.

1.4+ / 2.25+ View Details arrow_forward
miRNAVISA biotech

miRNAVISA

Interactive visualisation and analysis of miRNA families across species.

1.0 View Details arrow_forward
DASCBio boltLive in DB biotech

DASCBio

DASCLAB's in-house R package for survival analysis and competing-risks modelling with African health data

v1.4.2 View Details arrow_forward
DASCLAB

Data Science & Scientific Computing Lab. Department of Mathematics, University of Nairobi. Solving Africa's challenges through rigorous computation and analytical excellence.

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