A
Anna Shcherbina
Researcher at Stanford University
Publications - 69
Citations - 3194
Anna Shcherbina is an academic researcher from Stanford University. The author has contributed to research in topics: Hematopoietic stem cell transplantation & Chromatin. The author has an hindex of 19, co-authored 69 publications receiving 1604 citations. Previous affiliations of Anna Shcherbina include Massachusetts Institute of Technology & University of Helsinki.
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Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
TL;DR: DeepLIFT (Learning Important FeaTures), an efficient and effective method for computing importance scores in a neural network that compares the activation of each neuron to its 'reference activation' and assigns contribution scores according to the difference.
Journal ArticleDOI
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort.
Anna Shcherbina,C. Mikael Mattsson,Daryl Waggott,Heidi Salisbury,Jeffrey W. Christle,Trevor Hastie,Matthew T. Wheeler,Euan A. Ashley +7 more
TL;DR: Most wrist-worn devices adequately measure HR in laboratory-based activities, but poorly estimate EE, suggesting caution in the use of EE measurements as part of health improvement programs.
Journal ArticleDOI
Genetics of 35 blood and urine biomarkers in the UK Biobank
Nasa Sinnott-Armstrong,Nasa Sinnott-Armstrong,Nasa Sinnott-Armstrong,Yosuke Tanigawa,David Amar,David Amar,Nina Mars,Christian Benner,Matthew Aguirre,Guhan Venkataraman,Michael Wainberg,Hanna Ollila,Hanna Ollila,Hanna Ollila,Tuomo Kiiskinen,Tuomo Kiiskinen,Aki S. Havulinna,Aki S. Havulinna,James P. Pirruccello,James P. Pirruccello,Junyang Qian,Anna Shcherbina,Anna Shcherbina,FinnGen,Fatima Rodriguez,Themistocles L. Assimes,Themistocles L. Assimes,Vineeta Agarwala,Robert Tibshirani,Trevor Hastie,Samuli Ripatti,Samuli Ripatti,Jonathan K. Pritchard,Mark J. Daly,Mark J. Daly,Mark J. Daly,Manuel A. Rivas +36 more
TL;DR: In this article, the genetic basis of 35 blood and urine laboratory measurements in the UK Biobank (n = 363,228 individuals) was evaluated and the results delineate the genetic underlying of biomarkers and their causal influences on diseases and improve genetic risk stratification for common diseases.
Posted ContentDOI
Genetics of 38 blood and urine biomarkers in the UK Biobank
Nasa Sinnott-Armstrong,Yosuke Tanigawa,David Amar,Nina Mars,Matthew Aguirre,Guhan Venkataraman,Michael Wainberg,Hanna Ollila,Hanna Ollila,Hanna Ollila,James P. Pirruccello,James P. Pirruccello,Junyang Qian,Anna Shcherbina,Fatima Rodriguez,Themistocles L. Assimes,Themistocles L. Assimes,Vineeta Agarwala,Robert Tibshirani,Trevor Hastie,Samuli Ripatti,Samuli Ripatti,Jonathan K. Pritchard,Jonathan K. Pritchard,Mark J. Daly,Mark J. Daly,Mark J. Daly,Manuel A. Rivas,Finn Gen +28 more
TL;DR: The genetic basis of 38 blood and urine laboratory tests is evaluated, which tissues contribute to the biomarker function, the causal influences of the biomarkers, and how this can be used to predict disease are shown.
Journal ArticleDOI
Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases.
M. Ryan Corces,Anna Shcherbina,Soumya Kundu,Michael J. Gloudemans,Laure Fresard,Jeffrey M. Granja,Bryan H. Louie,Tiffany Eulalio,Shadi Shams,S. Tansu Bagdatli,Maxwell R. Mumbach,Boxiang Liu,Boxiang Liu,Kathleen S. Montine,William J. Greenleaf,Anshul Kundaje,Stephen B. Montgomery,Howard Y. Chang,Thomas J. Montine +18 more
TL;DR: A machine-learning classifier is developed to integrate this multi-omic framework and predict dozens of functional single-nucleotide polymorphisms for Alzheimer's disease and Parkinson's disease, and dissected the complex inverted haplotype of the MAPT (encoding tau) PD risk locus.