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Global Quantitative Modeling of Chromatin Factor Interactions
Jian Zhou
, Olga G. Troyanskaya
Research output
:
Contribution to journal
›
Article
›
peer-review
23
Scopus citations
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Dive into the research topics of 'Global Quantitative Modeling of Chromatin Factor Interactions'. Together they form a unique fingerprint.
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Mathematics
Chromatin
100%
Interaction
41%
Modeling
37%
Profile
11%
Leverage
11%
Inference Engine
7%
Dissect
7%
Prediction
7%
Gene Regulation
7%
Structure Learning
6%
Cell
6%
Profiling
6%
Driver
5%
Experimental Study
5%
Maximum Entropy
5%
Data-driven
5%
Genome
4%
Protein
4%
Biology
4%
Model
4%
Predictors
4%
Pairwise
3%
Regularization
3%
Evidence
3%
Probability Distribution
3%
Higher Order
3%
Unknown
2%
Framework
2%
Earth & Environmental Sciences
code
30%
modeling
24%
cell
24%
prediction
19%
genome
18%
engine
17%
entropy
17%
learning
15%
experimental study
15%
gene
14%
protein
14%
regulation
13%
distribution
6%
Engineering & Materials Science
Molecular interactions
29%
Inference engines
24%
Gene expression
21%
Genomics
20%
Probability distributions
18%
Proteins
17%
Entropy
16%
Medicine & Life Sciences
Chromatin Assembly and Disassembly
68%
Chromatin
51%
Macromolecular Substances
6%
Entropy
5%
Histone Code
5%
Learning
3%
Genome
3%
Genes
1%
Proteins
1%
Agriculture & Biology
chromatin
52%
prediction
6%
probability distribution
6%
histone code
5%
entropy
5%
engines
4%
learning
4%
Biological Sciences
3%
cells
2%
genome
2%
genes
1%
proteins
1%