Author

M. Ben Izhak

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metagenomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

O. Koren· 3 shared Y. Louzoun· 3 shared A. belogolovski· 2 shared A. alis· 1 shared A. Eshel· 1 shared a. meoded· 1 shared C. Leung· 1 shared C. Wachtel· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersMicrobiology

O. Koren

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Progesterone supplementation in mice leads to microbiome alterations and weight gain in a sex-specific manner

M. Nuriel-Ohayon, A. belogolovski, S. Komissarov, M. Ben Izhak, O. Shtossel, H. Neuman, O. Ziv, S. Turjeman, S. Bel, Y. Louzoun, O. Koren

This study shows progesterone increases weight in female mice but not males, with microbiome changes in females only, suggesting sex-specific microbiota involvement in progesterone effects.

bioRxiv · Oct 6, 2021 · PreprintMicrobiology

MIPMLP - Microbiome Pre-processing Machine Learning Pipeline.

Y. Jasner, A. belogolovski, M. Ben Izhak, O. Koren, Y. Louzoun

The paper develops a preprocessing pipeline for 16S sequencing data to improve machine learning classification accuracy by optimizing feature representation and dimensionality reduction.

bioRxiv · Nov 24, 2020 · PreprintMicrobiology

Projection of gut microbiome pre and post-bariatric surgery to predict surgery outcome

M. Ben Izhak, A. Eshel, r. cohen, L. Madar-Shapiro, h. meiri, C. Wachtel, C. Leung, E. Messick, N. Jongkam, E. mavor, S. Sapozhnikov, N. Maharashak, S. Abu-Abeid, A. alis, I. Mahler, , Y. Louzoun

The paper projects gut microbiome data pre and post-bariatric surgery to predict BMI loss, identifying distinct microbiome profiles associated with different outcomes.

bioRxiv · Aug 27, 2020Microbiology