M. S. Esfahani

发表

Integrating genomic features for non-invasive early lung cancer detection

Ash A. Alizadeh, Tej D. Azad, Natalie S. Lui, 2020, Nature.

Determining cell-type abundance and expression from bulk tissues with digital cytometry

Ash A. Alizadeh, Aaron M. Newman, Chloé B. Steen, 2019, Nature Biotechnology.

Validated limited gene predictor for cervical cancer lymph node metastases

M. S. Esfahani, H. Stehr, E. Rankin, 2019, Oncotarget.

Data and text mining Effect of separate sampling on classification accuracy

E. Dougherty, M. S. Esfahani, 2014 .

Circulating Tumor DNA Profiling for Detection, Risk Stratification, and Classification of Brain Lymphomas

A. Alizadeh, C. Liu, D. Kurtz, 2022, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction

Ash A. Alizadeh, D. Kurtz, M. S. Esfahani, 2019, Cell.

Corrigendum: Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients

Ash A. Alizadeh, Maximilian Diehn, Aaron M. Newman, 2016, Nature Communications.

Determining cell-type abundance and expression from bulk tissues with digital cytometry

Ash A. Alizadeh, Aaron M. Newman, A. Newman, 2019, Nature Biotechnology.

Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach

Pablo Meyer, Raquel Norel, Eran Segal, 2013, Genome research.

The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma.

Aaron M. Newman, A. Newman, A. Alizadeh, 2021, Cancer cell.

Noninvasive Early Identification of Therapeutic Benefit from Immune Checkpoint Inhibition

Ash A. Alizadeh, Aaron M. Newman, A. Newman, 2020, Cell.

Early Detection of Molecular Residual Disease in Localized Lung Cancer by Circulating Tumor DNA Profiling.

Ash A. Alizadeh, Aaron M. Newman, R. West, 2017, Cancer Discovery.

Inferring gene expression from cell-free DNA fragmentation profiles

Aaron M. Newman, A. Newman, A. Alizadeh, 2022, Nature Biotechnology.

Inferring gene expression from cell-free DNA fragmentation profiles

Aaron M. Newman, A. Newman, A. Alizadeh, 2022, Nature Biotechnology.

Functional significance of U2AF1 S34F mutations in lung adenocarcinomas

Ash A. Alizadeh, Howard Y. Chang, Aaron M. Newman, 2019, Nature Communications.

Circulating Tumor DNA Measurements As Early Outcome Predictors in Diffuse Large B-Cell Lymphoma.

Ash A. Alizadeh, Aaron M. Newman, R. Tibshirani, 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Circulating tumor DNA analysis for detection of minimal residual disease after chemoradiotherapy for localized esophageal cancer.

Ash A. Alizadeh, Aaron M. Newman, A. Newman, 2019, Gastroenterology.

Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA

Ash A. Alizadeh, Aaron M. Newman, A. Newman, 2016, Science Translational Medicine.

Enhanced detection of minimal residual disease by targeted sequencing of phased variants in circulating tumor DNA

Ash A. Alizadeh, W. Wilson, C. Liu, 2021, Nature Biotechnology.

Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients

Ash A. Alizadeh, Aaron M. Newman, Kathleen A. Durkin, 2016, Nature Communications.

Detection and Surveillance of Bladder Cancer Using Urine Tumor DNA.

Ash A. Alizadeh, Simon B. Chen, Helio A. Costa, 2018, Cancer discovery.

Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Development and Validation of Biopsy-Free Genotyping for Molecular Subtyping of Diffuse Large B-Cell Lymphoma

Ash A. Alizadeh, A. Newman, R. Advani, 2016 .

Effect of separate sampling on classification accuracy

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, Bioinform..

Circulating DNA for Molecular Response Prediction, Characterization of Resistance Mechanisms and Quantification of CAR T-Cells during Axicabtagene Ciloleucel Therapy

Ash A. Alizadeh, J. Chabon, D. Kurtz, 2019, Blood.

Towards Non-Invasive Classification of DLBCL Genetic Subtypes By Ctdna Profiling

Ash A. Alizadeh, D. Kurtz, M. S. Esfahani, 2019, Blood.

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2017, BMC Bioinformatics.

An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Sample-based prior probability construction using biological pathway knowledge

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2013, Pattern Recognit..

Discrete optimal Bayesian classification with error-conditioned sequential sampling

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2015, Pattern Recognit..

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

E. Dougherty, M. S. Esfahani, Xiaoning Qian, 2017, BMC Bioinformatics.

Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2011, BMC Bioinformatics.

Profiling of Circulating Tumor DNA for Noninvasive Disease Detection, Risk Stratification, and MRD Monitoring in Patients with CNS Lymphoma

A. Alizadeh, C. Liu, D. Kurtz, 2021, Blood.

DETERMINANTS OF RESISTANCE TO ENGINEERED T‐CELL THERAPIES TARGETING CD19 IN LYMPHOMA

A. Alizadeh, Y. Natkunam, D. Kurtz, 2021, Hematological Oncology.

NONINVASIVE DETECTION, CLASSIFICATION, AND RISK STRATIFICATION OF PRIMARY CNS LYMPHOMAS BY CTDNA PROFILING

A. Alizadeh, D. Kurtz, M. S. Esfahani, 2021, Hematological Oncology.

Reply to J. Wang et al.

Ash A. Alizadeh, Aaron M. Newman, R. Tibshirani, 2019, Journal of Clinical Oncology.

Identification and Analysis of the First 2009 Pandemic H1N1 Influenza Virus from U.S. Feral Swine

Charles D. Johnson, S. Schwartz, M. S. Esfahani, 2013, Zoonoses and public health.

Abstract 5666: A noninvasive approach for early prediction of therapeutic benefit from immune checkpoint inhibition for lung cancer

Ash A. Alizadeh, Aaron M. Newman, K. Ramchandran, 2020, Tumor Biology.

A mid-chemoradiation dynamic risk model integrating tumor features and ctDNA analysis for lung cancer outcome prediction.

Ash A. Alizadeh, K. Ramchandran, J. Chabon, 2020 .

Early Detection of Molecular Residual Disease in Localized Lung Cancer by Circulating Tumor DNA Profiling.

Ash A. Alizadeh, Aaron M. Newman, Justin N. Carter, 2017, Cancer discovery.

Intrinsically Bayesian Robust Kalman Filter: An Innovation Process Approach

Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, M. S. Esfahani, 2017, IEEE Transactions on Signal Processing.

E. Dougherty, M. S. Esfahani, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification

E. Dougherty, M. S. Esfahani, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Validated limited gene predictor for cervical cancer lymph node metastases

M. S. Esfahani, H. Stehr, A. Giaccia, 2020, Oncotarget.

OBGene: Optimal barcode generator for NGS experiments

Mohammad Shahrokh Esfahani, Esmaeil Atashpaz-Gargari, Charles D. Johnson, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Noninvasive Detection of BCL2, BCL6, and MYC Translocations in Diffuse Large B-Cell Lymphoma

Ash A. Alizadeh, Aaron M. Newman, R. Davis, 2016 .