Chapter 11: Genome-wide association studies von Bush, William S, Moore, Jason H

Volltext

Electronic health records and polygenic risk scores for predicting disease risk von Li, Ruowang, Chen, Yong, Ritchie, Marylyn D., Moore, Jason H.

Volltext

Benchmarking relief-based feature selection methods for bioinformatics data mining von Urbanowicz, Ryan J., Olson, Randal S., Schmitt, Peter, Meeker, Melissa, Moore, Jason H.

Volltext

Conservation machine learning: a case study of random forests von Sipper, Moshe, Moore, Jason H.

Volltext

PMLB: a large benchmark suite for machine learning evaluation and comparison von Olson, Randal S, La Cava, William, Orzechowski, Patryk, Urbanowicz, Ryan J, Moore, Jason H

Volltext

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease von van Smeden, Maarten, Heinze, Georg, Van Calster, Ben, Asselbergs, Folkert W, Vardas, Panos E, Bruining, Nico, de Jaegere, Peter, Moore, Jason H, Denaxas, Spiros, Boulesteix, Anne Laure, Moons, Karel G M

Volltext

Missing heritability and strategies for finding the underlying causes of complex disease von Eichler, Evan E, Flint, Jonathan, Gibson, Greg, Kong, Augustine, Leal, Suzanne M, Moore, Jason H, Nadeau, Joseph H

Volltext

Big Data Bioinformatics von Greene, Casey S., Tan, Jie, Ung, Matthew, Moore, Jason H., Cheng, Chao

Volltext

Pathway analysis of genomic data: concepts, methods, and prospects for future development von Ramanan, Vijay K, Shen, Li, Moore, Jason H, Saykin, Andrew J

Volltext

Breast cancer risk–associated SNPs modulate the affinity of chromatin for FOXA1 and alter gene expression von Cowper-Sal·lari, Richard, Zhang, Xiaoyang, Wright, Jason B, Bailey, Swneke D, Cole, Michael D, Eeckhoute, Jerome, Moore, Jason H, Lupien, Mathieu

Volltext

ChatGPT and large language models in academia: opportunities and challenges von Meyer, Jesse G, Urbanowicz, Ryan J, Martin, Patrick C N, O'Connor, Karen, Li, Ruowang, Peng, Pei-Chen, Bright, Tiffani J, Tatonetti, Nicholas, Won, Kyoung Jae, Gonzalez-Hernandez, Graciela, Moore, Jason H

Volltext

A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions von Orlenko, Alena, Moore, Jason H.

Volltext

Failure to replicate a genetic association may provide important clues about genetic architecture von Greene, Casey S, Penrod, Nadia M, Williams, Scott M, Moore, Jason H

Volltext

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery von Orzechowski, Patryk, Sipper, Moshe, Huang, Xiuzhen, Moore, Jason H

Volltext

Recurrent tissue-specific mtDNA mutations are common in humans von Samuels, David C, Li, Chun, Li, Bingshan, Song, Zhuo, Torstenson, Eric, Boyd Clay, Hayley, Rokas, Antonis, Thornton-Wells, Tricia A, Moore, Jason H, Hughes, Tia M, Hoffman, Robert D, Haines, Jonathan L, Murdock, Deborah G, Mortlock, Douglas P, Williams, Scott M

Volltext

Why epistasis is important for tackling complex human disease genetics von Mackay, Trudy Fc, Moore, Jason H

Volltext

The premature infant gut microbiome during the first 6 weeks of life differs based on gestational maturity at birth von Chernikova, Diana A., Madan, Juliette C., Housman, Molly L., Zain-ul-abideen, Muhammad, Lundgren, Sara N., Morrison, Hilary G., Sogin, Mitchell L., Williams, Scott M., Moore, Jason H., Karagas, Margaret R., Hoen, Anne G.

Volltext

Antihypertensive effects of yoga in a general patient population: real-world evidence from electronic health records, a retrospective case-control study von Penrod, Nadia M, Moore, Jason H

Volltext

Epigenomic Enhancer Profiling Defines a Signature of Colon Cancer von Akhtar-Zaidi, Batool, Cowper-Sal-lari, Richard, Corradin, Olivia, Saiakhova, Alina, Bartels, Cynthia F., Balasubramanian, Dheepa, Myeroff, Lois, Lutterbaugh, James, Jarrar, Awad, Kalady, Matthew F., Willis, Joseph, Moore, Jason H., Tesar, Paul J., Laframboise, Thomas, Markowitz, Sanford, Lupien, Mathieu, Scacheri, Peter C.

Volltext

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning von Orlenko, Alena, Kofink, Daniel, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Mishra, Pashupati, Kuukasjärvi, Pekka, Karhunen, Pekka J, Kähönen, Mika, Laurikka, Jari O, Lehtimäki, Terho, Asselbergs, Folkert W, Moore, Jason H

Volltext