Lorin Crawford

Q: What Schools Are Affiliated With Lorin Crawford

Lorin Crawford is affiliated with the following schools: Brown University, Stanford University, Clark Atlanta University, Duke University

Lorin Crawford's AcademicInfluence.com Rankings

Lorin Crawford

Mathematics

#8247

World Rank

#11196

Historical Rank

Statistics

#1299

World Rank

#1420

Historical Rank

mathematics Degrees

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Mathematics

Lorin Crawford's Degrees

Masters Statistics Stanford University

Why Is Lorin Crawford Influential?

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According to Wikipedia, Lorin Crawford is the RGSS Assistant Professor of Biostatistics at Brown University. He is affiliated with the Center for Statistical Sciences, Center for Computational Molecular Biology, and the Robert J. and Nancy D. Carney Institute for Brain Science. His scientific research interests involve the development of novel and efficient computational methodologies to address complex problems in statistical genetics, cancer pharmacology, and radiomics .

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Lorin Crawford's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer (2021) (95)
Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits (2017) (92)
Systematic mapping of BCL-2 gene dependencies in cancer reveals molecular determinants of BH3 mimetic sensitivity (2018) (75)
Melanoma Therapeutic Strategies that Select against Resistance by Exploiting MYC-Driven Evolutionary Convergence. (2017) (74)
A Landscape of Therapeutic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution. (2017) (66)
Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis (2016) (63)
PIK3CA mutations enable targeting of a breast tumor dependency through mTOR-mediated MCL-1 translation (2016) (48)
Fast and flexible linear mixed models for genome-wide genetics (2018) (44)
Bayesian Approximate Kernel Regression With Variable Selection (2015) (39)
Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer (2020) (35)
Functional Data Analysis using a Topological Summary Statistic: the Smooth Euler Characteristic Transform (2016) (25)
VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY1. (2018) (24)
Stem Cells and Extracellular Vesicles: Biological Regulators of Physiology and Disease (2019) (20)
Tropical Sufficient Statistics for Persistent Homology (2017) (20)
MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits (2020) (19)
Multi-scale inference of genetic trait architecture using biologically annotated neural networks (2020) (15)
A Statistical Pipeline for Identifying Physical Features that Differentiate Classes of 3D Shapes (2019) (11)
Topological Summaries of Tumor Images Improve Prediction of Disease Free Survival in Glioblastoma Multiforme (2016) (11)
Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits (2019) (11)
Interpreting Deep Neural Networks Through Variable Importance (2019) (9)
Natural variation in the regulation of neurodevelopmental genes modifies flight performance in Drosophila (2020) (8)
Transcriptional subtype-specific microenvironmental crosstalk and tumor cell plasticity in metastatic pancreatic cancer (2020) (8)
Stem Cells & Extracellular Vesicles in Physiology & Disease. (2019) (7)
A topological data analytic approach for discovering biophysical signatures in protein dynamics (2021) (7)
Convergent evolution of p38/MAPK activation in hormone resistant prostate cancer mediates pro-survival, immune evasive, and metastatic phenotypes (2020) (7)
The tumor microenvironment drives transcriptional phenotypes and their plasticity in metastatic pancreatic cancer (2020) (6)
Genome-wide Marginal Epistatic Association Mapping in Case-Control Studies (2018) (5)
MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits (2021) (5)
Misuse of the term ‘trans-ethnic’ in genomics research (2021) (4)
Predictor Variable Prioritization in Nonlinear Models: A Genetic Association Case Study (2018) (4)
Tropical Sufficient Statistics for Persistent Homology with a Parametric Application to Infectious Viral Disease (2017) (3)
Accepted Elasticity in Local Arithmetic Congruence Monoids (2014) (3)
The Landscape of Glycogen Synthase Kinase-3 Beta Genomic Alterations in Cancer (2020) (3)
Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries (2021) (3)
Detecting Epistasis in Genome-wide Association Studies with the Marginal EPIstasis Test (2016) (2)
Randomness and Statistical Inference of Shapes via the Smooth Euler Characteristic Transform (2022) (2)
Leveraging the Genetic Correlation between Traits Improves the Detection of Epistasis in Genome-wide Association Studies (2022) (2)
Redefining replication in multi-ancestry genome-wide association (2021) (2)
Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networks (2022) (2)
Epsilon-Genic Effects Bridge the Gap Between Polygenic and Omnigenic Complex Traits (2019) (2)
Deep self-supervised learning for biosynthetic gene cluster detection and product classification (2022) (2)
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes (2020) (1)
Extracellular Vesicles (EVs) Shape the Leukemic Microenvironment (2018) (1)
Multi-scale Genomic Inference using Biologically Annotated Neural Networks (2020) (1)
Abstract PO-058: Transcriptional subtype-specific microenvironmental crosstalk and tumor cell plasticity in metastatic pancreatic cancer (2020) (1)
Pathway Analysis within Multiple Human Ancestries Reveals Novel Signals for Epistasis in Complex Traits (2020) (1)
Generating Cell Type-Specific Protein Signatures from Non-symptomatic and Diseased Tissues (2020) (1)
FEATURES THAT DIFFERENTIATE CLASSES OF 3D SHAPES (2020) (1)
Scalable Bayesian Kernel Models with Variable Selection (2015) (1)
Randomized gates eliminate bias in sort‐seq assays (2022) (1)
SINATRA: A Sub-Image Analysis Pipeline for Selecting Features that Differentiate Classes of 3D Shapes (2019) (1)
Resource A Landscape of Therapeut ic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution Graphical (0)
Abstract PR03: Subtype-specific microenvironmental crosstalk and tumor cell plasticity in metastatic pancreatic cancer (2020) (0)
Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer (2020) (0)
Bayesian Kernel Models for Statistical Genetics and Cancer Genomics (2017) (0)
Abstract B092: Assessment of glycogen synthase kinase-3 beta (GSK3β) genomic landscape to inform use of cancer therapeutics (2019) (0)
Supplementary Material for “Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis” (2019) (0)
Accepted Elasticity in Local Arithmetic Congruence Monoids (2014) (0)
Topological approach for sequence-independent protein structure alignment (2022) (0)
Abstract PR02: Matched metastatic pancreatic ductal adenocarcinoma biopsies and organoid models reveal tumor cell transcriptional plasticity and subtype-specific microenvironmental crosstalk (2020) (0)
Partitioning Marginal Epistasis Distinguishes Nonlinear Effects from Polygenicity and Other Biases in GWA Summary Statistics (2022) (0)
Using Machine Learning to Classify the "Goodness" of Hmsc-Derived and AML-Derived EV's (2018) (0)
Abstract B038: Convergent hormone therapy resistance mediated by stress/dormancy-like pathways in prostate cancer (2018) (0)
Systematic mapping of BCL-2 gene dependencies in cancer reveals molecular determinants of BH3 mimetic sensitivity (2018) (0)
Interpretable Modeling of Cellular Perturbations (2021) (0)
Accepted Elasticity in Local Arithmetic Congruence (2013) (0)
MArginal ePIstasis Test for Regions [R package MAPITR version 1.1.2] (2020) (0)
A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models (2023) (0)
Recalibrating the Genome-wide Association Null Hypothesis (2019) (0)
Melanoma Therapeutic St rategies that Select against Resistance by Exploiting MYC-Driven Evolutionary Convergence Graphical (2017) (0)
Elasticity in Local Arithmetic Congruence Monoids (2014) (0)
Recalibrating the Genome-wide Association Null Hypothesis Enables the Detection of Core Genes Underlying Complex Traits (2019) (0)

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What Schools Are Affiliated With Lorin Crawford?

Lorin Crawford is affiliated with the following schools:

Lorin Crawford's Academic­Influence.com Rankings