S. Grossman
Statistics and Probability · Nature · 2010–2019
A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
Whom S. Grossman trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael R. Kosorok (in Finance)
Papers from S. Grossman's perspective
Ordered by how strongly the researchers S. Grossman trusts endorse each paper. Same corpus, a different order for every researcher.
- Consistent Nonparametric Regression
- On Brownian Distance Covariance and High Dimensional Data
- A unique chromatin signature uncovers early developmental enhancers in humans (Nature)
- Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation (Cell)
- Transcription factors: from enhancer binding to developmental control (Nature reviews genetics)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- Estimating Optimal Transformations for Multiple Regression and Correlation.
- ChIP-seq accurately predicts tissue-specific activity of enhancers (Nature)
- Systematic mapping of functional enhancer-promoter connections with CRISPR interference (Science)
Their papers
- Detecting Novel Associations in Large Datasets (2011) — 3,212 citations
- Systematic mapping of functional enhancer-promoter connections with CRISPR interference (2016) — 607 citations
- Integrating common and rare genetic variation in diverse human populations (2010) — 3,033 citations
- Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations (2019) — 970 citations
- Detecting natural selection in genomic data. (2013) — 629 citations
- An integrated map of genetic variation from 1,092 human genomes (2012) — 8,008 citations