Leo J. Lee

发表

The human splicing code reveals new insights into the genetic determinants of disease

B. Frey, S. Scherer, D. Merico, 2015, Science.

Functional coordination of alternative splicing in the mammalian central nervous system

B. Frey, Leo J. Lee, T. Hughes, 2007, Genome Biology.

Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing

B. Frey, Leo J. Lee, B. Blencowe, 2008, Nature Genetics.

Generating and designing DNA with deep generative models pdf

Brendan J. Frey, Nathan Killoran, David Duvenaud, 2017, ArXiv.

cDeepbind: A context sensitive deep learning model of RNA-protein binding

Brendan J. Frey, David Duvenaud, Leo J. Lee, 2018, bioRxiv.

insights into mammalian transcriptomes Current-generation high-throughput sequencing: deepening

Leo J. Lee, B. Blencowe, Sidrah Ahmad, 2010 .

Current-generation high-throughput sequencing: deepening insights into mammalian transcriptomes.

Leo J. Lee, B. Blencowe, Sidrah Ahmad, 2009, Genes & development.

The Evolutionary Landscape of Alternative Splicing in Vertebrate Species

Michael D. Wilson, Philip M. Kim, B. Frey, 2012, Science.

Transcriptional Profiling of Endocrine Cerebro-Osteodysplasia Using Microarray and Next-Generation Sequencing

Brendan J. Frey, Benjamin J. Blencowe, Robert A. Hegele, 2011, PloS one.

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

Katie M. Campbell, Christopher A. Miller, Brian J. Stevenson, 2020, Cell.

Genome-wide analysis of alternative splicing in Caenorhabditis elegans.

Arun K. Ramani, John A. Calarco, Andrew C. Nelson, 2011, Genome research.

EPIP: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles

Leo J. Lee, Bo Li, Bo Li, 2019, bioRxiv.

Probabilistic estimation of short sequence expression using RNA-Seq data and the “positional bootstrap”

B. Frey, H. Y. Xiong, Leo J. Lee, 2016, bioRxiv.

A Novel Proteogenomic Integration Strategy Expands the Breadth of Neo-Epitope Sources

Leo J. Lee, F. Mu, Zhanlong Mei, 2022, Cancers.

ADAR1-Dependent RNA Editing Promotes MET and iPSC Reprogramming by Alleviating ER Stress.

Leo J. Lee, Kui Wu, Jochen C. Hartner, 2020, Cell stem cell.

Addendum: Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing

B. Frey, Leo J. Lee, B. Blencowe, 2009, Nature Genetics.

The co-stimulation of anti-CD28 and IL-2 enhances the sensitivity of ELISPOT assays for detection of neoantigen-specific T cells in PBMC.

Leo J. Lee, Xiuqing Zhang, Linnan Zhu, 2020, Journal of immunological methods.

The co-stimulation of anti-CD28 and IL-2 enhances the sensitivity of ELISPOT assays for detection of neoantigen-specific T cells in PBMC

Leo J. Lee, Xiuqing Zhang, Linnan Zhu, 2019, bioRxiv.

How Many New Genes Are There?

B. Frey, Leo J. Lee, T. Hughes, 2006, Science.

Inferring Alternative Splicing Combinations from Comprehensive Putative-Junction Microarray Data

B. Frey, Leo J. Lee, C. Misquitta, 2008 .

a novel, effective RNA editing detection method based on machine learning

Ying Sun, Huanming Yang, Leo J. Lee, 2017 .

RTfold: RNA secondary structure prediction using deep learning with domain inductive bias

B. Frey, Leo J. Lee, A. Jung, 2022 .

A graph neural network approach for molecule carcinogenicity prediction

B. Frey, Leo J. Lee, Lazar Atanackovic, 2021, bioRxiv.

Deep learning of the tissue-regulated splicing code

Brendan J. Frey, Hui Yuan Xiong, Leo J. Lee, 2014, Bioinform..

The Evolutionary Landscape of Alternative Splicing in Vertebrate Species

Michael D. Wilson, Philip M. Kim, B. Frey, 2013 .

AVISPA: a web tool for the prediction and analysis of alternative splicing

Weijun Gao, Juan González-Vallinas, Hui Yuan Xiong, 2013, Genome Biology.

Characterization of RNA editome in primary and metastatic lung adenocarcinomas

Leo J. Lee, Kui Wu, Junhua Rao, 2016, Oncotarget.

HiCSR: a Hi-C super-resolution framework for producing highly realistic contact maps

Brendan J. Frey, Leo J. Lee, Michael C Dimmick, 2020, bioRxiv.

Mutations in STAMBP, encoding a deubiquitinating enzyme, cause Microcephaly-Capillary Malformation syndrome

B. Frey, Leo J. Lee, Soma Das, 2013, Nature Genetics.

Inference of Computational Models of Alternative Polyadenylation and Splicing

Oren Z. Kraus, B. Alipanahi, Leo J. Lee, 2018 .

IntroSpect: Motif-Guided Immunopeptidome Database Building Tool to Improve the Sensitivity of HLA I Binding Peptide Identification by Mass Spectrometry

Leo J. Lee, Bo Li, Xiuqing Zhang, 2022, Biomolecules.

IntroSpect: motif-guided immunopeptidome database building tool to improve the sensitivity of HLA binding peptide identification

Leo J. Lee, Bo Li, Xiuqing Zhang, 2021, bioRxiv.

Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data

Brendan J. Frey, Nebojsa Jojic, Boyko Kakaradov, 2012, BMC Bioinformatics.

RED-ML: a novel, effective RNA editing detection method based on machine learning

Xun Xu, Liqin Xu, Yong Hou, 2017, GigaScience.

Machine Learning Approaches for RNA Editing Prediction

B. Frey, Leo J. Lee, A. Jung, 2020 .

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Jason S. Hartford, Leo J. Lee, Y. Bengio, 2023, 2302.04178.

EPIC: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles

Leo J. Lee, Bo Li, Xinxin Lin, 2019 .

Energy-based Modelling for Single-cell Data Annotation

Leo J. Lee, Lazar Atanackovic, Phil Fradkin, 2022, MLCB.

Current-generation high-throughput sequencing: deepening insights into mammalian transcriptomes.

Leo J. Lee, B. Blencowe, Sidrah Ahmad, 2009, Genes & development.

The Evolutionary Landscape of Alternative Splicing in Vertebrate Species

Philip M. Kim, B. Frey, Leo J. Lee, 2012, Science.