Ahmed Saadawy

Ahmed Saadawy

@ahmedhesham47

Molecular and Cellular Biosciences PhD Student @ University of Southern California

Los Angeles, California
290
Followers
465
Following
20
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 14 owned repositories

88.2M Total LOC
Jupyter Notebook
87,974,329 lines
99.7%
N/A
Python
163,005 lines
0.2%
N/A
C++
58,273 lines
0.1%
N/A
R
20,691 lines
0.0%
N/A
Shell
1,117 lines
0.0%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
Python
C++
R
Shell

Collaboration Network

Global Impact visualization

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Ahmed Saadawy
0 active collaborators

Repos

24

PRs

0

Growth

+18%

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Coding Streak

Contribution activity over the past year

4 days
277
Contributions
69
Commits
5
Pull Requests
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Top Repositories

Systems-Biology-Tutorials

A repo to store tutorials made for BMS 473 - Systems Biology in Fall 2024. The tutorials are using CobraPy on genome-scale metabolic models, mathematical modelling and numerical integration, and more.

2 0
Jupyter Notebook
Bayesian-Networks-for-Predicting-ICB-Response

Employing Bayesian Networks to quantify the probability of ICB response based on transcriptomic profiles

2 0
Jupyter Notebook
CDK4_6-Inhibitors-In-silico-Analysis

Code & data for the publication: The landscape of cyclin-dependent kinase 4/6 inhibitors in solid malignancies: Emphasis on immunotherapy combinatorial strategies

1 0
Jupyter Notebook
Enhancer-Location-Matters

PhD Rotation 2 @ USC, Spring 2025, Judith Kribelbauer Lab.

1 0
Jupyter Notebook
IMPACT

Repository for the publication: Integrative Multiomics Pipeline for Analysis of Checkpoint Therapy

1 0
Jupyter Notebook
RNA-Mutations-for-Prion-Formation

PhD Rotation 1 @ USC, Spring 2025, Lin Chen Lab

1 0
Jupyter Notebook
ahmedhesham47

A repo for configuring my profile overview.

1 0
Microbial-GWAS

This project aims to identify genetic variants correlated with biofilm formation using treeWAS R package.

1 0
R
Genetic-Algorithms-for-Feature-Selection

This project aims to utilize genetic algorithms for selecting a subset of features that maximize the classification accuracy for supervised machine learning tasks.

1 0
Jupyter Notebook
Multiomics-Analysis-M1-TNBC

Characterizing the Impact of M1 Macrophage and Identifying Candidate Prognostic Biomarkers in Triple-Negative Breast Cancer: Insights from Integrated Analysis of Multi-Omics Data

1 0