Research output per year
Research output per year
Personal profile
Research interests
- Bioninformatic
- systems biology
- network biology
- tissue specificity
- hereditary diseases
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Esti Yeger-Lotem is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data
Hekselman, I., Vital, A., Ziv-Agam, M., Kerber, L., Yairi, I. & Yeger-Lotem, E., 1 Jan 2024, In: eLife. 13, e84613.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Editorial: Celebrating women’s contribution to protein folding, misfolding, and degradation in honor of Susan Lindquist (1949–2016)
Ben-Zvi, A., Carra, S. & Yeger-Lotem, E., 1 Jan 2024, In: Frontiers in Molecular Biosciences. 11, 1504059.Research output: Contribution to journal › Editorial
Open Access -
Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J., Slutsky, R., Rozenblum, N., Rokach, L., Ben-David, U. & Yeger-Lotem, E., 1 Dec 2024, In: Genome Biology. 25, 1, 95.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues
Sorek, G., Haim, Y., Chalifa-Caspi, V., Lazarescu, O., Ziv-Agam, M., Hagemann, T., Nono Nankam, P. A., Blüher, M., Liberty, I. F., Dukhno, O., Kukeev, I., Yeger-Lotem, E., Rudich, A. & Levin, L., 19 Jul 2024, In: iScience. 27, 7, 110368.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases
Argov, C. M., Shneyour, A., Jubran, J., Sabag, E., Mansbach, A., Sepunaru, Y., Filtzer, E., Gruber, G., Volozhinsky, M., Yogev, Y., Birk, O., Chalifa-Caspi, V., Rokach, L. & Yeger-Lotem, E., 4 Nov 2024, In: Molecular Systems Biology. 20, 11, p. 1187-1206 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease
Cain, A., Taga, M., McCabe, C., Green, G. S., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., Yeger-Lotem, E., Bennett, D. A., Yang, H. S., Regev, A., Menon, V., Habib, N. & De Jager, P. L., 1 Jul 2023, In: Nature Neuroscience. 26, 7, p. 1267-1280 14 p.Research output: Contribution to journal › Article › peer-review
Open Access25 Scopus citations -
Network Modeling of Tissues and Cell Types
Ziv, M. & Yeger-Lotem, E., 2023, Encyclopedia of Cell Biology: Systems, Translational and Specialized Cell Aspects of Cell Biology. Second Edition ed. Elsevier, Vol. 6. p. 444-453 10 p.Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary
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Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation
Simonovsky, E., Sharon, M., Ziv, M., Mauer, O., Hekselman, I., Jubran, J., Vinogradov, E., Argov, C. M., Basha, O., Kerber, L., Yogev, Y., Segrè, A. V., Im, H. K., Birk, O., Rokach, L. & Yeger-Lotem, E., 8 Aug 2023, In: Molecular Systems Biology. 19, 8, e11407.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
ProAct: quantifying the differential activity of biological processes in tissues, cells, and user-defined contexts
Sharon, M., Gruber, G., Argov, C. M., Volozhinsky, M. & Yeger-Lotem, E., 19 May 2023, In: Nucleic Acids Research. 51, W1, p. W478-W483Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Multi-Cellular Communities are Perturbed in the Aging Human Brain and with Alzheimer's Disease
Cain, A., Taga, M., McCabe, C., Green, G., Hekselman, I., White, C. C., Rozenblatt-Rosen, O., Zhang, F., Yeger-Lotem, E., Bennett, D. A., Hyun-Sik, Y., Regev, A., Menon, V., Habib, N. & De Jager, P. L., 24 Jul 2022, (bioRxiv).Research output: Working paper/Preprint › Preprint
Activities
- 2 Visiting an external academic institution
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Harvard University
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016Activity: Visiting an external institution › Visiting an external academic institution
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Broad Institute
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016Activity: Visiting an external institution › Visiting an external academic institution
Press/Media
Equipment
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Yeger Lotem Lab
Yeger-Lotem, E. (PI)
Department of Clinical Biochemistry and PharmacologyEquipment/facility: lab
Projects
- 1 Active
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Restoring the Fair Go: which policies and practices are likely to reverse growing health inequities in Australia post-COVID-19
Yeger-Lotem, E. (PI), Lindquist, S. S. (CoPI) & Baum, F. F. (PI)
United States-Israel Binational Science Foundation (BSF)
1/01/09 → …
Project: Research
Datasets
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Additional file 4 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707005.v1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707005/1
Dataset
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Additional file 6 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707011, https://springernature.figshare.com/articles/dataset/Additional_file_6_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707011
Dataset
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Additional file 5 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707008, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707008
Dataset
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Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.c.7182839, https://springernature.figshare.com/collections/Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/7182839
Dataset
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Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.c.7182839.v1, https://springernature.figshare.com/collections/Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/7182839/1
Dataset
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Tissue-aware interpretation of genetic variants advances the etiology of rare diseases
Argov, C. (Creator), Shneyour, A. (Creator), Jubran, J. (Creator), Sabag, E. (Creator), Mansbach, A. (Creator), Sepunaru, Y. (Creator), Filtzer, E. (Creator), Gruber, G. (Creator), Yogev, Y. (Creator), Birk, O. (Creator), Chalifa-Caspi, V. (Creator), Rokach, L. (Creator) & Yeger-Lotem, E. (Creator), ZENODO, 21 Jul 2024
DOI: 10.5281/zenodo.11528443, https://zenodo.org/records/11528443
Dataset
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Additional file 2 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.25608861.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/25608861/1
Dataset
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Additional file 7 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707014, https://springernature.figshare.com/articles/dataset/Additional_file_7_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707014
Dataset
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Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data
Hekselman, I. (Creator) & Yeger-Lotem, E. (Creator), ZENODO, 30 Jan 2024
DOI: 10.5061/dryad.9w0vt4bm7, https://zenodo.org10594836
Dataset
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Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data
Hekselman, I. (Creator) & Yeger-Lotem, E. (Creator), Dryad, 30 Jan 2024
DOI: 10.5061/dryad.9w0vt4bm7, https://datadryad.org/stash/dataset/doi:10.5061/dryad.9w0vt4bm7
Dataset