Correcting for Observation Bias in Cancer Progression Modeling.

Tumor progression is driven by the accumulation of genetic alterations, including both point mutations and copy number changes. Understanding the temporal sequence of these events is crucial for comprehending the disease but is not directly discernible from cross-sectional genomic data. Cancer progression models, including Mutual Hazard Networks (MHNs), aim to reconstruct the dynamics of tumor progression by learning the causal interactions between genetic events based on their co-occurrence patterns in cross-sectional data.

Comparative genome analysis of cluster EF bacteriophages Ajin and OverHedge isolated from soil in Tennessee.

Bacteriophages Ajin and OverHedge were isolated from soil in Tennessee using the bacterium . Ajin and OverHedge (cluster EF) have a genome of 56,993 bp and 56,559 bp, containing 86 and 81 predicted genes, respectively. The Ajin genome has unique genes, phosphatase and glycosyltransferase, compared to the OverHedge.

Associations Between Weight Perception and Weight Status With Perceptions of the Body Positivity Movement.

Purpose: To explore the relationships between weight status, weight perceptions, and perceptions of the body positivity movement on social media.

Design: Cross-sectional.

Setting: Online through the Qualtrics platform.

Modeling metastatic progression from cross-sectional cancer genomics data.

Motivation: Metastasis formation is a hallmark of cancer lethality. Yet, metastases are generally unobservable during their early stages of dissemination and spread to distant organs. Genomic datasets of matched primary tumors and metastases may offer insights into the underpinnings and the dynamics of metastasis formation.

A hierarchy of processing complexity and timescales for natural sounds in human auditory cortex.

Efficient behavior is supported by humans' ability to rapidly recognize acoustically distinct sounds as members of a common category. Within auditory cortex, there are critical unanswered questions regarding the organization and dynamics of sound categorization. Here, we performed intracerebral recordings in the context of epilepsy surgery as 20 patient-participants listened to natural sounds.