Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses. - René Natowicz; Roberto Incitti; Euler Guimarães Horta; Benoît Charles; Philippe Guinot; Kai Yan; Charles Coutant; Fabrice André; Lajos Pusztai; Roman Rouzier (BMC Bioinform., 2008)

Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems. - Kenneth R. Hess; Caimiao Wei; Yuan Qi; Takayuki Iwamoto 002; W. Fraser Symmans; Lajos Pusztai (BMC Bioinform., 2011)

Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response. - Qiyuan Li; Aron C. Eklund; Nicolai J. Birkbak; Christine Desmedt; Benjamin Haibe-Kains; Christos P. Sotiriou; W. Fraser Symmans; Lajos Pusztai; Søren Brunak; Andrea L. Richardson; Zoltan Szallasi (BMC Bioinform., 2011)

An adaptive feature selection method for microarray data analysis. - Jie Cheng; Joel Greshock; Leming Shi; Jeffery Painter; Xiwu Lin; Kwan Lee; Shu Zheng; Richard Wooster; Lajos Pusztai; Alan Menius (BIBM, 2012)

Uncertainty estimation with a finite dataset in the assessment of classification models. - Weijie Chen 007; Waleed A. Yousef; Brandon D. Gallas; Elizabeth R. Hsu; Samir Lababidi; Rong Tang; Gene A. Pennello; W. Fraser Symmans; Lajos Pusztai (Comput. Stat. Data Anal., 2012)

Multi-modal AI for comprehensive breast cancer prognostication. - Jan Witowski; Ken Zeng; Joseph Cappadona; Jailan Elayoubi; Elena Diana Chiru; Nancy Chan; Young-Joon Kang; Frederick Howard; Irina Ostrovnaya; Carlos Fernandez-Granda; Freya Schnabel; Ugur Ozerdem; et al. (CoRR, 2024)