Cole Alexander Deisseroth
| Title | Graduate Student |
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| Institution | Baylor College of Medicine |
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| Department | Genetics & Genomics |
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| vCard | Download vCard |
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Bibliographic
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media.
(Note that publications are often cited in additional ways that are not shown here.)
Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication.
Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication.
Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.)
Click a Field or Translation tag to filter the publications.
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Mao D, Liu C, Wang L, Ai-Ouran R, Deisseroth C, Pasupuleti S, Kim SY, Li L, Rosenfeld JA, Meng L, Burrage LC, Wangler MF, Yamamoto S, Undiagnosed Diseases Network, Santana M, Perez V, Shukla P, Eng CM, Lee B, Yuan B, Xia F, Bellen HJ, Liu P, Liu Z. AI-MARRVEL - A Knowledge-Driven AI System for Diagnosing Mendelian Disorders. NEJM AI. 2024 May; 1(5).
PMID: 38962029; PMCID: PMC11221788.
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Deisseroth CA, Lerma VC, Magyar CL, Pfliger JM, Nayak A, Bliss ND, LeMaire AW, Narayanan V, Balak C, Zanni G, Valente EM, Bertini E, Benke PJ, Wangler MF, Chao HT. An Integrated Phenotypic and Genotypic Approach Reveals a High-Risk Subtype Association for EBF3 Missense Variants Affecting the Zinc Finger Domain. Ann Neurol. 2022 07; 92(1):138-153.
PMID: 35340043.
Citations: Fields:
Translation:
HumansCells
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Birgmeier J, Haeussler M, Deisseroth CA, Steinberg EH, Jagadeesh KA, Ratner AJ, Guturu H, Wenger AM, Diekhans ME, Stenson PD, Cooper DN, Beggs AH, Bernstein JA, Bejerano G, R? C. AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature. Sci Transl Med. 2020 05 20; 12(544).
PMID: 32434849; PMCID: PMC9366928.
Citations:
11 Fields:
Translation:
Humans
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Birgmeier J, Deisseroth CA, Hayward LE, Galhardo LMT, Tierno AP, Jagadeesh KA, Stenson PD, Cooper DN, Bernstein JA, Haeussler M, Bejerano G. AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature. Genet Med. 2020 02; 22(2):362-370.
PMID: 31467448; PMCID: PMC7301356.
Citations:
8 Fields:
Translation:
Humans
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Deisseroth CA, Birgmeier J, Bodle EE, Kohler JN, Matalon DR, Nazarenko Y, Genetti CA, Brownstein CA, Schmitz-Abe K, Schoch K, Cope H, Signer R, Undiagnosed Diseases Network, Martinez-Agosto JA, Shashi V, Beggs AH, Wheeler MT, Bernstein JA, Bejerano G. ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis. Genet Med. 2019 07; 21(7):1585-1593.
PMID: 30514889; PMCID: PMC6551315.
Citations:
21 Fields:
Translation:
Humans
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Jagadeesh KA, Birgmeier J, Guturu H, Deisseroth CA, Wenger AM, Bernstein JA, Bejerano G. Phrank measures phenotype sets similarity to greatly improve Mendelian diagnostic disease prioritization. Genet Med. 2019 02; 21(2):464-470.
PMID: 29997393.
Citations:
7 Fields:
Translation:
Humans
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Haynes WA, Vallania F, Liu C, Bongen E, Tomczak A, Lofgren S, Tam A, Deisseroth CA, Li MD, Sweeney TE, Khatri P, Andres-Terr? M. EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY. Pac Symp Biocomput. 2017; 22:144-153.
PMID: 27896970; PMCID: PMC5167529.
Citations:
40 Fields:
Translation:
Humans
This graph shows the total number of publications by year. To see the data as text,
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This graph shows the total number of publications by year. To return to the graph,
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| Year | Publications |
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| 2017 | 1 |
| 2018 | 2 |
| 2019 | 1 |
| 2020 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 1 |
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text,
click here.
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text,
click here.
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