Year |
Citation |
Score |
2021 |
Schaniel C, Dhanan P, Hu B, Xiong Y, Raghunandan T, Gonzalez DM, Dariolli R, D'Souza SL, Yadaw AS, Hansen J, Jayaraman G, Mathew B, Machado M, Berger SI, Tripodig J, et al. A library of induced pluripotent stem cells from clinically well-characterized, diverse healthy human individuals. Stem Cell Reports. PMID 34739849 DOI: 10.1016/j.stemcr.2021.10.005 |
0.637 |
|
2020 |
Hong S, Hu P, Jang JH, Carrington B, Sood R, Berger SI, Roessler E, Muenke M. Functional analysis of Sonic Hedgehog variants associated with holoprosencephaly in humans using a CRISPR/Cas9 zebrafish model. Human Mutation. PMID 32939873 DOI: 10.1002/Humu.24119 |
0.321 |
|
2019 |
Kruszka P, Berger SI, Casa V, Dekker MR, Gaesser J, Weiss K, Martinez AF, Murdock DR, Louie RJ, Prijoles EJ, Lichty AW, Brouwer OF, Zonneveld-Huijssoon E, Stephan MJ, Hogue J, et al. Cohesin complex-associated holoprosencephaly. Brain : a Journal of Neurology. PMID 31334757 DOI: 10.1093/Brain/Awz210 |
0.351 |
|
2019 |
Kruszka P, Berger SI, Weiss K, Everson JL, Martinez AF, Hong S, Anyane-Yeboa K, Lipinski RJ, Muenke M. CCR4-NOT transcription complex, subunit 1 (CNOT1) Variant Associated with Holoprosencephaly. American Journal of Human Genetics. PMID 31006510 DOI: 10.1016/J.Ajhg.2019.03.017 |
0.319 |
|
2018 |
Roessler E, Hu P, Marino J, Hong S, Hart R, Berger S, Martinez A, Abe Y, Kruszka P, Thomas JW, Mullikin JC, Wang Y, Wong WSW, Niederhuber JE, et al. Common genetic causes of holoprosencephaly are limited to a small set of evolutionarily conserved driver genes of midline development coordinated by TGFβ, hedgehog and FGF signaling. Human Mutation. PMID 29992659 DOI: 10.1002/Humu.23590 |
0.351 |
|
2017 |
Berger SI, Ciccone C, Simon KL, Malicdan MC, Vilboux T, Billington C, Fischer R, Introne WJ, Gropman A, Blancato JK, Mullikin JC, Gahl WA, Huizing M, Smith AC. Exome analysis of Smith-Magenis-like syndrome cohort identifies de novo likely pathogenic variants. Human Genetics. PMID 28213671 DOI: 10.1007/S00439-017-1767-X |
0.352 |
|
2011 |
Berger SI, Iyengar R. Role of systems pharmacology in understanding drug adverse events. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 3: 129-35. PMID 20803507 DOI: 10.1002/Wsbm.114 |
0.507 |
|
2010 |
Lachmann A, Xu H, Krishnan J, Berger SI, Mazloom AR, Ma'ayan A. ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. Bioinformatics (Oxford, England). 26: 2438-44. PMID 20709693 DOI: 10.1093/Bioinformatics/Btq466 |
0.526 |
|
2010 |
Berger SI, Ma'ayan A, Iyengar R. Systems pharmacology of arrhythmias. Science Signaling. 3: ra30. PMID 20407125 DOI: 10.1126/Scisignal.2000723 |
0.618 |
|
2010 |
Berger SI, Iyengar R, Van Hook AM. Science Signaling podcast: 20 April 2010 Science Signaling. 3: pc8. DOI: 10.1126/Scisignal.3118Pc8 |
0.418 |
|
2009 |
Berger SI, Iyengar R. Network analyses in systems pharmacology. Bioinformatics (Oxford, England). 25: 2466-72. PMID 19648136 DOI: 10.1093/Bioinformatics/Btp465 |
0.541 |
|
2009 |
Wist AD, Berger SI, Iyengar R. Systems pharmacology and genome medicine: a future perspective. Genome Medicine. 1: 11. PMID 19348698 DOI: 10.1186/Gm11 |
0.538 |
|
2009 |
Ma'ayan A, Jenkins SL, Webb RL, Berger SI, Purushothaman SP, Abul-Husn NS, Posner JM, Flores T, Iyengar R. SNAVI: Desktop application for analysis and visualization of large-scale signaling networks. Bmc Systems Biology. 3: 10. PMID 19154595 DOI: 10.1186/1752-0509-3-10 |
0.609 |
|
2007 |
Berger SI, Posner JM, Ma'ayan A. Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases. Bmc Bioinformatics. 8: 372. PMID 17916244 DOI: 10.1186/1471-2105-8-372 |
0.559 |
|
2007 |
Berger SI, Iyengar R, Ma'ayan A. AVIS: AJAX viewer of interactive signaling networks. Bioinformatics (Oxford, England). 23: 2803-5. PMID 17855420 DOI: 10.1093/Bioinformatics/Btm444 |
0.599 |
|
2007 |
Posner JI, Berger S, Ma'ayan AM. Genes2Networks: Connecting Lists of Proteins by Using Background Literature-based Mammalian Networks Nature Precedings. 2: 1-1. DOI: 10.1038/Npre.2007.35.2 |
0.391 |
|
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