Ernest Fraenkel

Massachusetts Institute of Technology

United States

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Articles (20)

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2021

Collaborators (6)

Marian Kalocsay

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Lindsey R. Hayes

UNITED STATES

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Laura-Isobel McCall

University of Oklahoma

UNITED STATES

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Lyle Ostrow

Associate Professor

Temple University

UNITED STATES

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Daniela Domeisen

Associate Professor

University of Lausanne

SWITZERLAND

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Oleg A. Karpov

University of Edinburgh

UNITED KINGDOM

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Ernest Fraenkel

Research Interests

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Articles (20)

Comprehensive Proteomics Metadata and Integrative Web Portals Facilitate Sharing and Integration of LINCS Multiomics Data

Listener effort measures clinically meaningful change of dysarthria in amyotrophic lateral sclerosis

Reliable monitoring of respiratory function with home spirometry in people living with amyotrophic lateral sclerosis

Disease related changes in ATAC-seq of iPSC-derived motor neuron lines from ALS patients and controls.

Integration of transcriptomics, proteomics and loss-of-function screening reveals WEE1 as a target for combination with dasatinib against proneural glioblastoma.

Transcriptomic changes in oligodendrocytes and precursor cells associate with clinical outcomes of Parkinson's disease.

Selective CDK7 Inhibition Suppresses Cell Cycle Progression and MYC Signaling While Enhancing Apoptosis in Therapy-resistant Estrogen Receptor-positive Breast Cancer.

Targeting low levels of MIF expression as a potential therapeutic strategy for ALS.

Identification of gene fusions associated with amyotrophic lateral sclerosis.

Dictionary of immune responses to cytokines at single-cell resolution

Adaptive bias correction for improved subseasonal forecasting

Sub-seasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models

Subseasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models

Screening for amyotrophic lateral sclerosis through interactions with an internet search engine

Single cell metabolism: current and future trends.

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data

Machine learning approach finds nonlinear patterns of neurodegenerative disease progression

Self-supervised learning of cell type specificity from immunohistochemical images.

Answer ALS, a large-scale resource for sporadic and familial ALS combining clinical and multi-omics data from induced pluripotent cell lines.

Immortalized striatal precursor neurons from Huntington's disease patient-derived iPS cells as a platform for target identification and screening for experimental therapeutics.

Collaborators (6)

Marian Kalocsay

Lindsey R. Hayes

Laura-Isobel McCall

Lyle Ostrow

Daniela Domeisen

Oleg A. Karpov

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