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Debit Ahmed

Main Referenced Co-authors
Bours, Vincent  (7)
Josse, Claire  (7)
Poulet, Christophe  (6)
Jerusalem, Guy  (5)
Van Steen, Kristel  (4)
Main Referenced Keywords
random forest (5); biomarker signature (4); RNA-seq (4); Cancer Diagnosis (3); Random Forest (3);
Main Referenced Unit & Research Centers
GIGA‐R - Giga‐Research - ULiège (5)
Human Genetics GIGA-R (4)
BIO3 Unit, Human Genetics GIGA-R (1)
Human Genetics, BIO3 GIGA-R (1)
Human Genetics, BIO3 GIGA-R Uliege (1)
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (8)
Life sciences: Multidisciplinary, general & others (5)
Computer science (4)
Oncology (2)

Publications (total 16)

The most downloaded
493 downloads
Debit, A. (2014). Detection d'objets rares au sein de coupes histologiques par apprentissage automatique [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/210158 https://hdl.handle.net/2268/210158

The most cited

14 citations (OpenAlex)

Uyisenga, J., Butera, Y., Debit, A., JOSSE, C., Ainhoa, C. C., Karinganire, E., Cyuzuzo, A. P., Umurungi, N., Kalinijabo, Y., Uwimana, S., Mutesa, L., & Bours, V. (2020). Prevalence of Histological Characteristics of Breast Cancer in Rwanda in Relation to Age and Tumor Stages. Hormones and Cancer. doi:10.1007/s12672-020-00393-3 https://hdl.handle.net/2268/250582

Poulet, C.* , Debit, A.* , Josse, C., Jerusalem, G., Azencott, C.-A., Bours, V., & Van Steen, K. (2023). Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/303314. doi:10.1101/2023.03.29.534695
* These authors have contributed equally to this work.

Uyisenga, J. P.* , Debit, A.* , Poulet, C., Frères, P., Poncin, A., Thiry, J., Mutesa, L., Jerusalem, G., Bours, V.* , & JOSSE, C.*. (03 June 2021). Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites. Scientific Reports, 11 (1), 11698. doi:10.1038/s41598-021-91278-0
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Debit, A. (2020). An in-depth study of random forests methodologies for short biomarker signature discovery [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/249891

Uyisenga, J., Butera, Y., Debit, A., JOSSE, C., Ainhoa, C. C., Karinganire, E., Cyuzuzo, A. P., Umurungi, N., Kalinijabo, Y., Uwimana, S., Mutesa, L., & Bours, V. (2020). Prevalence of Histological Characteristics of Breast Cancer in Rwanda in Relation to Age and Tumor Stages. Hormones and Cancer. doi:10.1007/s12672-020-00393-3
Peer reviewed

Debit, A. (14 October 2019). Towards an accurate cancer diagnosis modelization: Comparison of random forest strategies [Paper presentation]. IGES 28th Annual Meeting, October 12-14, 2019, Houston, TX, USA, Houston, TX, United States.

Debit, A., Poulet, C., JOSSE, C., Azencott, C.-A., Jerusalem, G., Van Steen, K., & BOURS, V. (15 March 2019). TOWARDS AN ACCURATE CANCER DIAGNOSIS MODELIZATION:COMPARISON OF RANDOM FOREST STRATEGIES [Poster presentation]. 19th BeSHG meeting 15th March 2019 Liege, Belgium, Liege, Belgium.

Debit, A. (2019). Omics signature detection for improved diagnostics [Paper presentation]. Scientific Advisory Board SAB Evaluation, Thematic Unit of Medical Genomics, Liege, Belgium.

Debit, A., & Poulet, C. (2018). Towards an accurate cancer diagnosis modelization: Comparison of Random Forest strategies [Paper presentation]. GIGA-Cancer Seminars, Liege, Belgium.

Debit, A. (2018). Random Forest strategies for cancer diagnosis [Paper presentation]. GIGA Cancer Seminars, Liege, Belgium.

Debit, A. (2018). Towards an accurate cancer diagnosis modelization:Comparison of Random Forest strategies [Paper presentation]. ByteMal 2018, Liege, Belgium.

Debit, A., Poulet, C., JOSSE, C., Van Steen, K., JERUSALEM, G., Bours, V., & Azencott, C.-A. (05 October 2018). Towards an accurate cancer diagnosis modelization: Comparison of Random Forest strategies [Poster presentation]. 5th conference Bioinformatics for young international researchers expo byteMAL 2018, Liege, Belgium.

Debit, A., JOSSE, C., JERUSALEM, G., BOURS, V., & Poulet, C. (13 September 2018). Towards an accurate cancer diagnosis modelization:Comparison of Random Forest strategies [Poster presentation]. JOINT MEETING GIGA-CANCER DAY 2018 / EDT-CANCEROLOGY, Liege, Belgium.

Debit, A. (2018). Algorithm optimization for signature discovery: case of Breast Cancers [Paper presentation]. Unit of Human Genetics - Oncology unit (GIGA) meeting, Liege, Belgium.

Debit, A. (2017). From quality control to normalization of RNA-seq data [Paper presentation]. GIGA-BIO training session, Liege, Belgium.

Debit, A., Wenric, S., JOSSE, C., Van Steen, K., & Bours, V. (May 2017). Normalization and correction for batch effects via RUV for RNA-seq data: practical implications for Breast Cancer Research [Poster presentation]. European Human Genetics Conference ESHG 2017, Copenhagen, Denmark.

Debit, A. (2014). Detection d'objets rares au sein de coupes histologiques par apprentissage automatique [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/210158

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