Search Results - "Gauran, Iris Ivy"

Empirical Null Estimation Using Zero-Inflated Discrete Mixture Distributions and its Application to Protein Domain Data by Gauran, Iris Ivy M., Park, Junyong, Lim, Johan, Park, DoHwan, Zylstra, John, Peterson, Thomas, Kann, Maricel, Spouge, John L.

“…In recent mutation studies, analyses based on protein domain positions are gaining popularity over gene-centric approaches since the latter have limitations in…”
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Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples by Peterson, Thomas A, Gauran, Iris Ivy M, Park, Junyong, Park, DoHwan, Kann, Maricel G

“…The fight against cancer is hindered by its highly heterogeneous nature. Genome-wide sequencing studies have shown that individual malignancies contain many…”
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Bayesian variable selection using Knockoffs with applications to genomics by Yap, Jurel K., Gauran, Iris Ivy M.

“…Given the costliness of HIV drug therapy research, it is important not only to maximize true positive rate (TPR) by identifying which genetic markers are…”
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Ridge Penalization in High-Dimensional Testing With Applications to Imaging Genetics by Gauran, Iris Ivy, Xue, Gui, Chen, Chuansheng, Ombao, Hernando, Yu, Zhaoxia

“…High-dimensionality is ubiquitous in various scientific fields such as imaging genetics, where a deluge of functional and structural data on brain-relevant…”
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Nonparametric modeling of clustered customer survival data by Gauran, Iris Ivy M., Barrios, Erniel B.

“…We incorporate a random clustering effect into the nonparametric version of Cox Proportional Hazards model to characterize clustered survival data. The…”
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Causal relationships between diseases mined from the literature improve the use of polygenic risk scores by Toonsi, Sumyyah, Gauran, Iris Ivy, Ombao, Hernando, Schofield, Paul N, Hoehndorf, Robert

“…Identifying causal relations between diseases allows for the study of shared pathways, biological mechanisms, and inter-disease risks. Such causal relations…”
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Testing the homogeneity of risk differences with sparse count data by Park, Junyong, Gauran, Iris Ivy

“…In this paper, we consider testing the homogeneity of risk differences in independent binomial distributions especially when data are sparse. We point out some…”
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Methylation changes in the peripheral blood of Filipinos with type 2 diabetes suggest spurious transcription initiation at TXNIP by Albao, Dominic S, Cutiongco-de la Paz, Eva Maria, Mercado, Maria Elizabeth, Lirio, Alvin, Mariano, Margarette, Kim, Sarah, Yangco, Ariane, Melegrito, Jodelyn, Wad-asen, Kate, Gauran, Iris Ivy, Francisco, Marie Angeline, Santos-Acuin, Cecilia, David-Padilla, Carmencita, Murphy, Elizabeth J, Paz-Pacheco, Elizabeth, Seielstad, Mark

“…Abstract While much work has been done in associating differentially methylated positions (DMPs) to type 2 diabetes (T2D) across different populations, not…”
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Multiple Testing Procedures Controlling False Discovery Rate with Applications to Genomic Data by Gauran, Iris Ivy M

“…In recent mutation studies, analyses based on protein domain positions are gaining popularity over traditional gene-centric approaches since the latter have…”
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Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data by Gauran, Iris Ivy, Ombao, Hernando, Yu, Zhaoxia

“…It is crucial to assess the predictive performance of a model in order to establish its practicality and relevance in real-world scenarios, particularly for…”
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Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data by Gauran, Iris Ivy, Reyes, Patrick Wincy, Barrios, Erniel, Ombao, Hernando

“…Epigenetics plays a crucial role in understanding the underlying molecular processes of several types of cancer as well as the determination of innovative…”
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Testing the homogeneity of risk differences with sparse count data by Park, Junyong, Gauran, Iris Ivy

“…In this paper, we consider testing the homogeneity of risk differences in independent binomial distributions especially when data are sparse. We point out some…”
Get full text

Empirical Null Estimation using Discrete Mixture Distributions and its Application to Protein Domain Data by Gauran, Iris Ivy, Park, Junyong, Lim, Johan, Park, DoHwan, Zylstra, John, Peterson, Thomas, Kann, Maricel, Spouge, John

“…In recent mutation studies, analyses based on protein domain positions are gaining popularity over gene-centric approaches since the latter have limitations in…”
Get full text