Simultaneous identification of differential gene expression and connectivity in inflammation, adipogenesis and cancer. - Antonio Reverter; Aaron Ingham; Sigrid A. Lehnert; Siok-Hwee Tan; Yonghong Wang; Abhirami Ratnakumar; Brian P. Dalrymple (Bioinform., 2006)

Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes. - Antonio Reverter; Aaron Ingham; Brian P. Dalrymple (BioData Min., 2008)

RNF14 is a regulator of mitochondrial and immune function in muscle. - Aaron Ingham; Simone A. Osborne; Moira Menzies; Suzie Briscoe; Wei Chen; Kritaya Kongsuwan; Antonio Reverter; Angela Jeanes; Brian P. Dalrymple; Gene Wijffels; Robert A. Seymour; Nicholas J. Hudson 001 (BMC Syst. Biol., 2014)

Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours. - Shuwen Hu; Aaron Ingham; Sabine Schmoelzl; Jody McNally; Bryce Little; Daniel Smith; Greg Bishop-Hurley; You-Gan Wang; Yutao Li (Comput. Electron. Agric., 2020)

Automatic detection of parturition in pregnant ewes using a three-axis accelerometer. - Daniel Smith; Jody McNally; Bryce Little; Aaron Ingham; Sabine Schmoelzl (Comput. Electron. Agric., 2020)

In-situ classification of cattle behavior using accelerometry data. - Reza Arablouei; Lachlan Currie; Brano Kusy; Aaron Ingham; Paul L. Greenwood; Greg Bishop-Hurley (Comput. Electron. Agric., 2021)

CVB: A Video Dataset of Cattle Visual Behaviors. - Ali Zia; Renuka Sharma; Reza Arablouei; Greg Bishop-Hurley; Jody McNally; Neil Bagnall; Vivien Rolland; Brano Kusy; Lars Petersson; Aaron Ingham (CoRR, 2023)

Cattle behavior recognition from accelerometer data: Leveraging in-situ cross-device model learning. - Reza Arablouei; Greg Bishop-Hurley; Neil Bagnall; Aaron Ingham (Comput. Electron. Agric., 2024)