Publications

Kimberly E Roche, Johannes R Bjork, Mauna R Dasari, Laura Grieneisen, David Jansen, Trevor J Gould, Laurence R Gesquiere, Luis B Barreiro, Susan C Alberts, Ran Blekhman, Jack A Gilbert, Jenny Tung, Sayan Mukherjee, and Elizabeth A Archie. Universal gut microbial relationships in the gut microbiome of wild baboons. Elife, (12)eLife Sciences Publications, Ltd, May 2023. [PUMA: Zno bacteria between community correlations cynocephalus data disease dynamics ecology gut infectious longitudinal microbiology microbiome microbiota personalization universality] URL

Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, and Michael Schroeder. Netrank: network-based approach for biomarker discovery. BMC bioinformatics, (24)1BioMed Central, London, Jul 29, 2023. [PUMA: topic_lifescience Algorithms, Area Biomedical Curve, Disease FIS_scads Gene Humans, Library Progression, Research, Under]

Dimitra Kiakou, Adam Adamopoulos, and Nico Scherf. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", 223--230, 2022. [PUMA: topic_neuroinspired Disease Feature Graph-Based Impact Investigating Neuroimaging Prediction Selection learning]

Vincent D. Friedrich, Peter Pennitz, Emanuel Wyler, Julia M. Adler, Dylan Postmus, Kristina Müller, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, and Geraldine Nouailles. Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease. eBioMedicine, (108):105312, 2024. [PUMA: topic_mathfoundation COVID-19, Cross-species Deep Disease Hamster RNA-seq, Single-cell analysis, learning matching, model, state] URL

Souhrid Mukherjee, Thomas A. Cassini, Ningning Hu, Tao Yang, Bian Li, Wangzhen Shen, Christopher W. Moth, David C. Rinker, Jonathan H. Sheehan, Joy D. Cogan, John H. Newman, Rizwan Hamid, Robert L. Macdonald, Dan M. Roden, Jens Meiler, Georg Kuenze, John A. Phillips, and John A. Capra. Personalized structural biology reveals the molecular mechanisms underlying heterogeneous epileptic phenotypes caused by de novo KCNC2 variants. Human Genetics and Genomics Advances, (3)4:100131, 2022. [PUMA: topic_lifescience DEE, Diseases KCNC2, Network, Undiagnosed and biology, developmental disease dynamics electrophysiology, encephalopathy, epileptic interpretation, molecular personalized rare simulations, structural variant variant,] URL

Souhrid Mukherjee, Joy D Cogan, John H Newman, John A Phillips, 3rd, Rizwan Hamid, Undiagnosed Diseases Network, Jens Meiler, and John A Capra. Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network. Am. J. Hum. Genet., (108)10:1946--1963, Elsevier BV, October 2021. [PUMA: Diseases Network; UDN; Undiagnosed clinical digenic disease disease; learning; machine oligogenic prediction; rare topic_lifescience]