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Jacob M. Schreiber · SciRah

Researcher profile · Semantic Scholar

Jacob M. Schreiber

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Jacob M. Schreiber — researcher profile on SciRah

h-index: 9
Works: 24
Citations: 1,315

Most-cited papers

A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens.
Molly Gasperini, Andrew J. Hill, J. McFaline-Figueroa, B. Martin +9 more
2019Cell553 citations Open access
Semantic Scholar
Navigating the pitfalls of applying machine learning in genomics
Sean Whalen, Jacob M. Schreiber, William Stafford Noble, K. Pollard
2021Nature reviews genetics253 citations
Semantic Scholar
A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning
Ariel Erijman, L. Kozlowski, Salma Sohrabi-Jahromi, J. Fishburn +5 more
2020Molecules and Cells113 citations Open access
Semantic Scholar
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Jacob M. Schreiber, Timothy J. Durham, Jeff A. Bilmes, W. S. Noble
2020Genome Biology97 citations Open access
Semantic Scholar
The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
J. Rozowsky, Jia-Hao Gao, Beatrice Borsari, Yucheng T. Yang +99 more
2022bioRxiv76 citations Open access
Semantic Scholar
apricot: Submodular selection for data summarization in Python
Jacob M. Schreiber, Jeff A. Bilmes, William Stafford Noble
2019Journal of machine learning research64 citations
Semantic Scholar
A pitfall for machine learning methods aiming to predict across cell types
Jacob M. Schreiber, Ritambhara Singh, Jeff A. Bilmes, William Stafford Noble
2019Genome Biology64 citations Open access
Semantic Scholar
Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples
Jacob M. Schreiber, Jeff A. Bilmes, W. S. Noble
2019Genome Biology37 citations Open access
Semantic Scholar
Ledidi: Designing genomic edits that induce functional activity
Jacob M. Schreiber, Yang Young Lu, William Stafford Noble
2020bioRxiv20 citations Open access
Semantic Scholar
Machine learning for profile prediction in genomics.
Jacob M. Schreiber, Ritambhara Singh
2021Current Opinion in Chemical Biology9 citations Open access
Semantic Scholar
Finding the optimal bayesian network given a constraint graph
Jacob M. Schreiber, William Stafford Noble
2017PeerJ Preprints8 citations Open access
Semantic Scholar
Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data
Jacob M. Schreiber, Jeff A. Bilmes, William Stafford Noble
2019bioRxiv5 citations Open access
Semantic Scholar
Zero-shot imputations across species are enabled through joint modeling of human and mouse epigenomics
Jacob M. Schreiber, Deepthi Hegde, William Stafford Noble
2019bioRxiv5 citations Open access
Semantic Scholar
Author Correction: Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Jacob M. Schreiber, Timothy J. Durham, Jeff A. Bilmes, William Stafford Noble
2021Genome Biology3 citations Open access
Semantic Scholar
Submodular sketches of single-cell RNA-seq measurements
Wei Yang, Jacob M. Schreiber, Jeff A. Bilmes, William Stafford Noble
2020bioRxiv3 citations Open access
Semantic Scholar
Avocado: Deep tensor factorization characterizes the human epigenome via imputation of tens of thousands of functional experiments
Jacob M. Schreiber, Timothy J. Durham, William Stafford Noble, Jeff A. Bilmes
2020ACM International Conference on Bioinformatics, Computational Biology and Biomedicine0 citations
Semantic Scholar
Learning a latent representation of human genomics using Avocado
Jacob M. Schreiber, William Stafford Noble
2020bioRxiv0 citations Open access
Semantic Scholar
Latent Modeling of the Human Epigenome
Jacob M. Schreiber
20200 citations
Semantic Scholar
Kiwano source code and epigenomic similarity matrix.
Jacob M. Schreiber
20200 citations
Semantic Scholar
Additional File 1: Hyperparameter selection
Jacob M. Schreiber, Timothy J. Durham, Jeff A. Bilmes, W. S. Noble
20190 citations
Semantic Scholar
Additional File 6: Promoter-enhancer interaction data set
Jacob M. Schreiber, Timothy J. Durham, Jeff A. Bilmes, William Stafford Noble
20190 citations
Semantic Scholar
Group using Constraint Graph Use Constraints to Guide Structure Learning
Jacob M. Schreiber, William Stafford Noble
20170 citations
Semantic Scholar
Lecture 4 : Universal Hash Functions / Streaming Cont ’ d
S. Gharan, Jacob M. Schreiber
20160 citations
Semantic Scholar
Sequence analysis Analysis of nanopore data using hidden Markov models
Jacob M. Schreiber, K. Karplus
20150 citations
Semantic Scholar

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William Stafford Noble×15
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Jeff A. Bilmes×10
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Timothy J. Durham×5
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