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Imran S. Haque
Researcher at Stanford University
Publications - 82
Citations - 4716
Imran S. Haque is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Mutation (genetic algorithm). The author has an hindex of 25, co-authored 79 publications receiving 3280 citations. Previous affiliations of Imran S. Haque include California Institute of Technology.
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Journal ArticleDOI
Group Testing Approach for Trinucleotide Repeat Expansion Disorder Screening
TL;DR: Group testing based on StairCase is an implementable approach to trinucleotide repeat expansion disorder testing that offers ≥10-fold reduction in assay costs over current single-plex methods.
Patent
Noninvasive prenatal screening using dynamic iterative depth optimization
TL;DR: In this article, the authors describe methods for determining a chromosomal abnormality of a test chromosome or a portion thereof in a fetus by analyzing a test maternal sample of a woman carrying said fetus, wherein the test maternal samples comprises fetal cell-free DNA and maternal cell-based DNA.
Proceedings ArticleDOI
Abstract 2227: Multi-analyte profiling reveals relationships among circulating biomarkers in colorectal cancer
Daniel Delubac,Eric A. Ariazi,Jonathan Berliner,Adam Drake,John Dulin,Riley Ennis,Erik Gafni,Katherine E. Niehaus,Gabriel Otte,Jennifer Pecson,Girish Putcha,Corey Schaninger,Aarushi Sharma,Singer Michael,Abraham Tzou,Jill Waters,David H. Weinberg,Brandon White,Imran S. Haque +18 more
Posted ContentDOI
SSCM: A method to analyze and predict the pathogenicity of sequence variants
TL;DR: SSCM-Pathogenic, a genome-wide, allele-specific score for predicting variant pathogenicity, generated by a semi-supervised clustering algorithm, shows predictive power on clinically relevant mutations, while also displaying predictive ability in noncoding regions of the genome.
Posted ContentDOI
Biological Cartography: Building and Benchmarking Representations of Life
Safiye Celik,Jan-Christian Hütter,Sandra Melo Carlos,Nathan H. Lazar,Ramkumar Mohan,Conor A. Tillinghast,Tommaso Biancalani,Marta M. Fay,Berton A. Earnshaw,Imran S. Haque +9 more
TL;DR: In this article , the authors propose a framework for the steps involved in map building and demonstrate key classes of benchmarks to assess the quality of a map and demonstrate the application and interpretation of these benchmarks through example maps of scRNA-seq and phenomic imaging data.