PLOS Computational Biology

by Kyle Ellrott, Venkat S. Malladi, Jean-Christophe Bélisle-Pipon, Emek Demir, Yael Bensoussan, Serghei Mangul, Alex A. T. Bui, Paul C. Boutros

Modern statistical and machine learning techniques are effective at describing, testing hypotheses and making predictions from complex data. This effectiveness is strongly influenced by the volume and heterogeneity of available d...

by Pavlos Alexandros Dimitriou, Matteo D’Alessandro, Brian L. Chang, Valentinos Silvestros, Elisavet Constantinou, Costas Pitris, Panayiotis Kolios, Piet Van Mieghem

Using contact tracing data provided by the Cyprus Ministry of Health, infection trees for the first four waves of the COVID-19 epidemic are constructed. In these trees, nodes represent infected individuals, ...

by Bjorge Meulemeester, Arco Bast, María Royo, Rieke Fruengel, Su Saka, Foivos Kastrinakis, Marcel Oberlaender

How can we identify the mechanistic origins of the electrophysiological activity that is recorded from neurons in the living brain? A promising strategy for addressing this question is to generate biologically realistic models of in vivo recorded neurons,...

by Xiamin Leng, Alexander Fengler, Amitai Shenhav, Michael J. Frank

Response deadlines are commonly imposed in decision-making research to incentivize speedy decisions and sustained attention. This procedure frequently leads to a proportion of trials in which no response is made, and these omissions are often simply removed from the data during analysis. Here we show tha...

by Tao Qu, Lingyan Yuan, Weiran Cui, Jiatian Tang, Zhitong Bing, Xianghong Xu, Jizheng Duan, Qiong Yang, Hui Cai

CLDN18.2 is a promising tumor-specific antigen; however, the development of therapeutic antibodies against it is challenged by the need for simultaneous optimization of affinity and developability. To address this, we present cdrGPT, a deep learning framework ...