Ahsan Huda

发表

Epigenetic histone modifications of human transposable elements: genome defense versus exaptation

Ahsan Huda, I King Jordan, Leonardo Mariño-Ramírez, 2010, Mobile DNA.

Epigenetic Regulation of Mammalian Genomes by Transposable Elements

Ahsan Huda, I King Jordan, I. K. Jordan, 2009, Annals of the New York Academy of Sciences.

Epigenetic regulation of transposable element derived human gene promoters.

Andrew B. Conley, I. K. Jordan, N. Bowen, 2011, Gene.

Repetitive DNA elements, nucleosome binding and human gene expression.

D. Landsman, I. K. Jordan, L. Mariño-Ramírez, 2009, Gene.

Population Differences in Transcript-Regulator Expression Quantitative Trait Loci

Xihong Lin, Winston A Hide, P. Bushel, 2012, PloS one.

Prediction of Transposable Element Derived Enhancers Using Chromatin Modification Profiles

I. K. Jordan, L. Mariño-Ramírez, N. Bowen, 2011, PloS one.

Analysis of transposable element sequences using CENSOR and RepeatMasker.

Ahsan Huda, I King Jordan, I. K. Jordan, 2009, Methods in molecular biology.

Endogenous retroviruses of the chicken genome

I. K. Jordan, J. McDonald, Nalini Polavarapu, 2008, Biology Direct.

A Gibbs sampling strategy applied to the mapping of ambiguous short-sequence tags

Jianrong Wang, I. King Jordan, Ahsan Huda, 2010, Bioinform..

Widespread Exonization of Transposable Elements in Human Coding Sequences is Associated with Epigenetic Regulation of Transcription

P. Bushel, Ahsan Huda, 2013, Transcriptomics: open access.

Effect of the Transposable Element Environment of Human Genes on Gene Length and Expression

M. Gundapuneni, I. K. Jordan, L. Mariño-Ramírez, 2011, Genome biology and evolution.

A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy

Rahul C. Deo, Sanjiv J. Shah, R. Deo, 2021, Nature Communications.

A Machine Learning Model for the Systematic Identification of Wild-Type Transthyretin Cardiomyopathy

Sanjiv J. Shah, R. Deo, M. Stewart, 2019, Journal of Cardiac Failure.

Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center

T. Kannampallil, D. Lenihan, Joshua D. Mitchell, 2022, Clinical Medicine Insights. Cardiology.

Transthyretin Amyloid Cardiomyopathy Among Patients Hospitalized for Heart Failure and Performance of an Adapted Wild-Type ATTR-CM Machine Learning Model: Findings from GWTG-HF.

G. Fonarow, L. Allen, K. Chiswell, 2022, American heart journal.

Performance Evaluation of A Machine Learning Model For Systematic Identification of Wild-type Transthyretin Amyloid Cardiomyopathy At Two Academic Medical Centers

Miriam R. Elman, A. Masri, S. Heitner, 2020 .

Faculty Opinions recommendation of Mapping and analysis of chromatin state dynamics in nine human cell types.

Ahsan Huda, I King Jordan, I. K. Jordan, 2011 .

Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting

M. Mamas, Ahsan Huda, C. Dickerson, 2023, BMJ Open.