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Michelle L Krishnan

Showing results (1-10 of 19) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EXPLORING BRAIN TRANSCRIPTOMIC PATTERNS: A TOPOLOGICAL ANALYSIS USING SPATIAL EXPRESSION NETWORKSZhana Kuncheva, Michelle L Krishnan, Giovanni Montana
Pediatric Neurology|February 2, 2010
Diffusion features of white matter in tuberous sclerosis with tractographyMichelle L Krishnan, Olivier Commowick, Shafali S Jeste, et al.
Brain and Behavior|April 26, 2016
Possible relationship between common genetic variation and white matter development in a pilot study of preterm infantsMichelle L Krishnan, Zi Wang, Matt Silver, et al.
Molecular Psychiatry|August 15, 2020
Angelman syndrome genotypes manifest varying degrees of clinical severity and developmental impairmentMarius Keute, Meghan T Miller, Michelle L Krishnan, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 13, 2017
Machine learning shows association between genetic variability in <i>PPARG</i> and cerebral connectivity in preterm infantsMichelle L Krishnan, Zi Wang, Paul Aljabar, et al.
Pediatrics|August 19, 2007
Relationship between white matter apparent diffusion coefficients in preterm infants at term-equivalent age and developmental outcome at 2 yearsMichelle L Krishnan, Leigh E Dyet, James P Boardman, et al.
Scientific Reports|February 15, 2019
Polygenic risk for neuropsychiatric disease and vulnerability to abnormal deep grey matter developmentHarriet Cullen, Michelle L Krishnan, Saskia Selzam, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 13, 2013
Expression profiling of mouse subplate reveals a dynamic gene network and disease association with autism and schizophreniaAnna Hoerder-Suabedissen, Franziska M Oeschger, Michelle L Krishnan, et al.
Annals of Clinical and Translational Neurology|August 6, 2021
Digital endpoints for self-administered home-based functional assessment in pediatric Friedreich's ataxiaArne Mueller, Elaine Paterson, Avery McIntosh, et al.
Child Psychiatry and Human Development|September 4, 2020
Measuring What Matters to Individuals with Angelman Syndrome and Their Families: Development of a Patient-Centered Disease Concept ModelTom Willgoss, Daiana Cassater, Siobhan Connor, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EXPLORING BRAIN TRANSCRIPTOMIC PATTERNS: A TOPOLOGICAL ANALYSIS USING SPATIAL EXPRESSION NETWORKSZhana Kuncheva, Michelle L Krishnan, Giovanni Montana
Pediatric Neurology|February 2, 2010
Diffusion features of white matter in tuberous sclerosis with tractographyMichelle L Krishnan, Olivier Commowick, Shafali S Jeste, et al.
Brain and Behavior|April 26, 2016
Possible relationship between common genetic variation and white matter development in a pilot study of preterm infantsMichelle L Krishnan, Zi Wang, Matt Silver, et al.
Molecular Psychiatry|August 15, 2020
Angelman syndrome genotypes manifest varying degrees of clinical severity and developmental impairmentMarius Keute, Meghan T Miller, Michelle L Krishnan, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 13, 2017
Machine learning shows association between genetic variability in <i>PPARG</i> and cerebral connectivity in preterm infantsMichelle L Krishnan, Zi Wang, Paul Aljabar, et al.
Pediatrics|August 19, 2007
Relationship between white matter apparent diffusion coefficients in preterm infants at term-equivalent age and developmental outcome at 2 yearsMichelle L Krishnan, Leigh E Dyet, James P Boardman, et al.
Scientific Reports|February 15, 2019
Polygenic risk for neuropsychiatric disease and vulnerability to abnormal deep grey matter developmentHarriet Cullen, Michelle L Krishnan, Saskia Selzam, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 13, 2013
Expression profiling of mouse subplate reveals a dynamic gene network and disease association with autism and schizophreniaAnna Hoerder-Suabedissen, Franziska M Oeschger, Michelle L Krishnan, et al.
Annals of Clinical and Translational Neurology|August 6, 2021
Digital endpoints for self-administered home-based functional assessment in pediatric Friedreich's ataxiaArne Mueller, Elaine Paterson, Avery McIntosh, et al.
Child Psychiatry and Human Development|September 4, 2020
Measuring What Matters to Individuals with Angelman Syndrome and Their Families: Development of a Patient-Centered Disease Concept ModelTom Willgoss, Daiana Cassater, Siobhan Connor, et al.
Pageof 2