Selected Publications
You can find a full publication list at Google Scholar.
Underline: trainees from Mostafavi lab; *: co-first authorship; $: co-senior authorship.
Preprints
How far are we from personalized gene expression prediction using sequence-to-expression deep neural networks?
Alex Sasse*, Bernard Ng*, Anna Spiro**,Shinya Tasaki, David Bennett, Chris Gaiteri, Phil De Jager, Maria Chinkina$, Sara Mostafvi$. bioRxiv
2023
Cell-subtype specific effects of genetic variation in the aging and Alzheimer cortex
Masashi Fujita, Zongmei Gao, Lu Zeng, ..., Sara Mostafvi, David Bennett, Vilas Menon, Philip De Jager. bioRxiv
2022
ExplaiNN: interpretable and transparent neural networks for genomics
Gherman Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi, Wyeth W Wasserman. bioRxiv
2022
Selected Published Articles
In silico discovery of small molecules for efficient stem cell differentiation into definitive endoderm
Gherman Novakovsky, Shugo Sasaki, ...Sara Mostafavi, Francis Lynn, Wyeth Wasserman. Stem Cell Reports.
2023
Cross-Linked Unified Embedding for cross-modality representation learning
Xinming Tu*, Zhi-Jie Cao*, Chen-Rui Xia, Sara Mostafavi$, Ge Gao$. NeurIPS (Oral).
2022
Obtaining genetics insights from deep learning via explainable artificial intelligence
Gherman Novakovsky*, Nick Dexter*, Maxwell Libbrecht$, Wyeth Wasserman$, Sara Mostafavi$. Nature Reviews Genetics.
2022
Mosaic loss of chromosome Y in aged human microglia
Michael Vermeulen, Richard Pearse, Tracy Young-Pearse, Sara Mostafavi. Genome Research.
2022
A practical guide to applying machine learning to infant EEG data
Bernard Ng*, Rebecca Reh, Sara Mostafavi$. Developmental Cognitive Neuroscience.
2022
CEWAS: Cascading Epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants
Bernard Ng, William Casazza, ..., Sara Mostafavi. PLOS Genetics.
2021
Biologically relevant transfer learning improves transcription factor binding prediction
Gherman Novakovsky, Manu Saraswat, Oriol Fornes, Sara Mostafavi, Wyeth Wasserman. Genome Biology.
2021
Gut CD4+ T cell phenotypes are a continuum molded by microbes, not by TH archetypes
Evgeny Kiner, Elijah Willie, Brinda Vijaykumar, ..,Sara Mostafavi, Diane Mathis, Christophe Benoist. Nature Immunology.
2021
Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer's disease neuropathologies
Nicasia Beebe-Wang, Safiye Celik, ..., Sara Mostafavi$, Su-In Lee$. Nature Communications.
2021
Deep learning decodes the principles of differential gene expression
Shinya Tasaki, Chris Gaiteri, Sara Mostafavi, Yanling Wang. Nature Machine Intelligence.
2020
Deep learning of immune cell differentiation
Alexandra (Sasha) Maslova* , Ricardo Ramirez*, ... , Christophe Benoist$, Sara Mostafavi$. PNAS.
2020
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
Ellis Patrick, Mariko Taga, Ayla Ergun, ... , Elizabeth Bradshaw$, Sara Mostafavi$. PLOS Computational Biology.
2020
metPropagate: network-guided propagation of metabolomic information for prioritization of metabolic disease genes.
Emma Graham Linck, Philip A. Richmond, ... , Mostafavi S. npj Genomic Medicine.
2020
Using Transcriptomic Hidden Variables to Infer Context-Specific Genotype Effects in the Brain.
Bernard Ng, William Casazza, ... , Mostafavi S. The American Journal of Human Genetics.
2019
Somatic mosaicism of sex chromosomes in the blood and brain.
Emma Graham, Mike Vermeulen, Badri Vardarjan, ... , Tracy Young-Pearse$,Mostafavi S$. Brain Research.
2019
The cis-Regulatory Atlas of the Mouse Immune System.
Yoshida H, Lereau C, ..., Mostafavi S$, Buenrostro J$, Benoist C$. Cell.
2019
A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease
Mostafavi S*, Gaiteri C*, ..., Bennett D, De Jager P. Nature Neuroscience.
2018
An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome.
Ng B, White C, Klein HU, ..., Mostafavi S$, De Jager P$. Nature Neuroscience.
2017
Allele-specific expression reveals interactions between genetic variation and environment
Knowles D,Davis JR, Edgington H, ..., Mostafavi S, Montgomery SB, Battle AJ. Nature Methods.
2017
Parsing the interferon transcriptional network and its disease associations
Mostafavi S*, Yoshida H*, Moodley D, ..., Mathis D, Benoist C, and the ImmGen Consortium. Cell .
2016
Sharing and Specificity of Co-expression Networks across 35 Human Tissues
Pierson E, the GTEx Consortium, Koller D, Battle A$, Mostafavi S$. PLOS Computational Biology .
2015
Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes
Raj T, Rothamel K, Mostafavi S,..., De Jager PL. Science .
2014
Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals
Battle A, Mostafavi S, Zhu X,..., Koller D. Genome Research .
2014
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge
Mostafavi S, Battle A, Zhu X,..., Koller D. PLOS ONE .
2013
Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing
Mostafavi S, Battle A, Zhu X,..., Levinson DF. Molecular Psychiatry.
2013
Using prior biological knowledge when constructing gene regulatory networks
Mostafavi S, and Koller, D. ICML workshop on Machine Learning in Genomics and Genetics .
2012
Labeling nodes using three degrees of propagation
Mostafavi S, Goldenberg A, Morris Q. PLOS ONE .
2012
Predicting node characteristics from molecular networks
Mostafavi S, Goldenberg A, Morris Q. Methods in Molecular Biology .
2011
Fast integration of heterogeneous data sources for predicting gene function with limited annotation.
Mostafavi S and Morris Q. Bioinformatics .
2010
Using the Gene Ontology hierarchy when predicting gene function
Mostafavi S and Morris Q. Uncertainty in Artificial Intelligence (UAI) .
2009
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function
Mostafavi S, Ray D, Warde-Farley D, Grouios C, Morris Q. Genome Biology .
2008
Student Theses
Advancing our understanding of genome regulation via optimization of stem cell differentiation and interpretable deep learning
Gherman Novakovsky.
2022
Robust methods for identifying cluster structure in single-cell RNA-sequecing data
Elijah Willie.
2020
Improving the estimation of Y chromosome loss using high-throughput sequencing
Michael Vermeulen.
2020
Understanding gene regulatory mechanisms of mouse immune cells using a convolutional neural network
Alexandra (Sasha) Maslova.
2020
Integration of genomic and metabolomic data for the prioritization of rare disease variants.
Emma Graham.
2018
Molecular interpretation of genome-wide association studies using multiomics analysis.
Farnush Farhadi Hassan Kiadeh.
2018
Estimating cell type proportions in human cord blood samples from DNAm arrays.
Louie Dinh.
2017
