User profiles for N. Teslovich
Nikola TeslovichResident, Urology, Stanford Hospital Verified email at stanford.edu Cited by 1954 |
Pathologically expanded peripheral T helper cell subset drives B cells in rheumatoid arthritis
… synovial fluid (n = 9) compared to synovial fluid from 19 patients with seronegative inflammatory
arthritides (seronegative RA n = 2, spondyloarthropathy n = 8, juvenile idiopathic arthritis …
arthritides (seronegative RA n = 2, spondyloarthropathy n = 8, juvenile idiopathic arthritis …
Immune cell profiling to guide therapeutic decisions in rheumatic diseases
… radical departure from 2D gating, as cells are clustered in n-dimensional space according
to similarity in expression across all n measured parameters. For data visualization, the cluster …
to similarity in expression across all n measured parameters. For data visualization, the cluster …
Mixed-effects association of single cells identifies an expanded effector CD4+ T cell subset in rheumatoid arthritis
CY Fonseka, DA Rao, NC Teslovich… - Science translational …, 2018 - science.org
… cells sampled equally from RA patients (n = 24) and controls (n = 26). DensVM identified 19
… cells sampled equally from RA patients (n = 26) and controls (n = 26). Cells were stimulated …
… cells sampled equally from RA patients (n = 26) and controls (n = 26). Cells were stimulated …
Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes
…, S Onengut-Gumuscu, A Lee, Y Luo, N Teslovich… - Nature …, 2018 - nature.com
… the association effect sizes follow a distribution of N(0,V) under H 0 , with V being the
squared standard error. Under H 1 , the framework assumes a distribution following N(0,V + W), …
squared standard error. Under H 1 , the framework assumes a distribution following N(0,V + W), …
[HTML][HTML] Lymphocyte innateness defined by transcriptional states reflects a balance between proliferation and effector functions
M Gutierrez-Arcelus, N Teslovich, AR Mola… - Nature …, 2019 - nature.com
… = 3) compared to transcript levels for its encoding gene ZBTB16 (N = 6). Error for tpm vs. … a
N = 4 replicates, b N = 7 rheumatoid arthritis and 6 osteoarthritis donors, c N = 17,783 breast T …
N = 4 replicates, b N = 7 rheumatoid arthritis and 6 osteoarthritis donors, c N = 17,783 breast T …
Allele-specific expression changes dynamically during T cell activation in HLA and other autoimmune loci
… we created 1,000 null sets of N random regions in the genome (N, number of disease loci), …
at 0 h (N = 501), and eQTL genes of naïve T cells reported by the Blueprint Consortium (N = …
at 0 h (N = 501), and eQTL genes of naïve T cells reported by the Blueprint Consortium (N = …
[HTML][HTML] ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
… Our experts labeled N landmark pairs in the fixed T2w MRI and the moving histopathology
image, denoted by (p 1 , p' 1 ),..., (p N , p' N ). Then the mean landmark error for the resulting …
image, denoted by (p 1 , p' 1 ),..., (p N , p' N ). Then the mean landmark error for the resulting …
[HTML][HTML] Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning …
…, SJC Soerensen, JB Wang, NC Teslovich… - Medical image …, 2022 - Elsevier
… or the final input, N is the number of pixels in the batch, y i ( n ) represents the ground truth
label for pixel n , y ^ i ( n ) represents the predicted label for pixel n , i represents one of the …
label for pixel n , y ^ i ( n ) represents the predicted label for pixel n , i represents one of the …
[HTML][HTML] 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction
… Note that the second term of l D has the opposite effect of l G A N , which makes the joint
optimization of l G A N and l D drive adversarial learning and push the distribution of generated …
optimization of l G A N and l D drive adversarial learning and push the distribution of generated …
[PDF][PDF] IMPACT: genomic annotation of cell-state-specific regulatory elements inferred from the epigenome of bound transcription factors
…, K Ishigaki, HJ Westra, N Teslovich… - The American Journal of …, 2019 - cell.com
Despite significant progress in annotating the genome with experimental methods, much of
the regulatory noncoding genome remains poorly defined. Here we assert that regulatory …
the regulatory noncoding genome remains poorly defined. Here we assert that regulatory …