Isaac Samuel Kohane, M.D.,Ph.D.
This page shows the publications co-authored by Isaac Kohane and Sek Won Kong.
Kong SW, Sahin M, Collins CD, Wertz MH, Campbell MG, Leech JD, Krueger D, Bear MF, Kunkel LM, Kohane IS. Divergent dysregulation of gene expression in murine models of fragile X syndrome and tuberous sclerosis. Mol Autism. 2014 Feb 24; 5(1):16.
Kong SW, Collins CD, Shimizu-Motohashi Y, Holm IA, Campbell MG, Lee IH, Brewster SJ, Hanson E, Harris HK, Lowe KR, Saada A, Mora A, Madison K, Hundley R, Egan J, McCarthy J, Eran A, Galdzicki M, Rappaport L, Kunkel LM, Kohane IS. Characteristics and predictive value of blood transcriptome signature in males with autism spectrum disorders. PLoS One. 2012; 7(12):e49475.
Kohane IS, Hsing M, Kong SW. Taxonomizing, sizing, and overcoming the incidentalome. Genet Med. 2012 Apr; 14(4):399-404.
Palmer NP, Silvester JA, Lee JJ, Beam AL, Fried I, Valtchinov VI, Rahimov F, Kong SW, Ghodoussipour S, Hood HC, Bousvaros A, Grand RJ, Kunkel LM, Kohane IS. Concordance between gene expression in peripheral whole blood and colonic tissue in children with inflammatory bowel disease. PLoS One. 2019; 14(10):e0222952.
Feiglin A, Allen BK, Kohane IS, Kong SW. Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders. Cell Syst. 2017 08 23; 5(2):140-148.e2.
Somekh J, Peleg M, Eran A, Koren I, Feiglin A, Demishtein A, Shiloh R, Heiner M, Kong SW, Elazar Z, Kohane I. A model-driven methodology for exploring complex disease comorbidities applied to autism spectrum disorder and inflammatory bowel disease. J Biomed Inform. 2016 10; 63:366-378.
Prilutsky D, Kho AT, Palmer NP, Bhakar AL, Smedemark-Margulies N, Kong SW, Margulies DM, Bear MF, Kohane IS. Gene expression analysis in Fmr1KO mice identifies an immunological signature in brain tissue and mGluR5-related signaling in primary neuronal cultures. Mol Autism. 2015; 6:66.
Kong SW, Lee IH, Leshchiner I, Krier J, Kraft P, Rehm HL, Green RC, Kohane IS, MacRae CA. Summarizing polygenic risks for complex diseases in a clinical whole-genome report. Genet Med. 2015 Jul; 17(7):536-44.
Hwang KB, Lee IH, Park JH, Hambuch T, Choe Y, Kim M, Lee K, Song T, Neu MB, Gupta N, Kohane IS, Green RC, Kong SW. Reducing false-positive incidental findings with ensemble genotyping and logistic regression based variant filtering methods. Hum Mutat. 2014 Aug; 35(8):936-44.
Lee IH, Lee K, Hsing M, Choe Y, Park JH, Kim SH, Bohn JM, Neu MB, Hwang KB, Green RC, Kohane IS, Kong SW. Prioritizing disease-linked variants, genes, and pathways with an interactive whole-genome analysis pipeline. Hum Mutat. 2014 May; 35(5):537-47.
Campbell MG, Kohane IS, Kong SW. Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptome. BMC Med Genomics. 2013 Sep 24; 6:34.
Park PJ, Kong SW, Tebaldi T, Lai WR, Kasif S, Kohane IS. Integration of heterogeneous expression data sets extends the role of the retinol pathway in diabetes and insulin resistance. Bioinformatics. 2009 Dec 01; 25(23):3121-7.
Kong SW, Hwang KB, Kim RD, Zhang BT, Greenberg SA, Kohane IS, Park PJ. CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays. Bioinformatics. 2005 May 01; 21(9):2116-7.
Brown AS, Kong SW, Kohane IS, Patel CJ. ksRepo: a generalized platform for computational drug repositioning. BMC Bioinformatics. 2016 Feb 09; 17:78.
Vassy JL, Lautenbach DM, McLaughlin HM, Kong SW, Christensen KD, Krier J, Kohane IS, Feuerman LZ, Blumenthal-Barby J, Roberts JS, Lehmann LS, Ho CY, Ubel PA, MacRae CA, Seidman CE, Murray MF, McGuire AL, Rehm HL, Green RC. The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine. Trials. 2014 Mar 20; 15:85.
Liu M, Liberzon A, Kong SW, Lai WR, Park PJ, Kohane IS, Kasif S. Network-based analysis of affected biological processes in type 2 diabetes models. PLoS Genet. 2007 Jun; 3(6):e96.
Tian L, Greenberg SA, Kong SW, Altschuler J, Kohane IS, Park PJ. Discovering statistically significant pathways in expression profiling studies. Proc Natl Acad Sci U S A. 2005 Sep 20; 102(38):13544-9.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.