Evidence map›Paper›PMID 39670358›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2025

CHARTING THE EVOLUTION AND TRANSFORMATIVE IMPACT OF THE PACIFIC SYMPOSIUM ON BIOCOMPUTING THROUGH A 30-YEAR RETROSPECTIVE ANALYSIS OF COLLABORATIVE NETWORKS AND THEMES USING MODERN COMPUTATIONAL TOOLS.

Leah Zhang, Sameeksha Garg, Edward Zhang, Sean McOsker, Carly Bobak, Kristine Giffin, Brock Christensen, Joshua Levy

Abstract readHistorical Article
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Leah ZhangThomas Jefferson High School for Science & Technology, Alexandria, VA, USA, 2025lzhang@tjhsst.edu.
Sameeksha GargDepartment of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA, sameeksg@andrew.cmu.edu.
Edward ZhangDartmouth College Geisel School of Medicine, Hanover, NH, USA, edward.b.zhang.27@dartmouth.edu.
Sean McOskerDartmouth College Geisel School of Medicine, Hanover, NH, USA, Sean.A.McOsker.GR@dartmouth.edu.
Carly BobakDartmouth College Geisel School of Medicine, Hanover, NH, USA, carly.a.bobak@dartmouth.edu.
Kristine GiffinDartmouth College Geisel School of Medicine, Hanover, NH, USA, kristine.a.giffin@dartmouth.edu.
Brock ChristensenDartmouth College Geisel School of Medicine, Hanover, NH, USA, brock.c.christensen@dartmouth.edu.
Joshua LevyDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA, USA, joshua.levy@cshs.org.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI Li Song · 2019 to 2026
$27.2M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM130454
6 · The paper itself

Abstract

Founded nearly 30 years ago, the Pacific Symposium on Biocomputing (PSB) has continually promoted collaborative research in computational biology, annually highlighting emergent themes that reflect the expanding interdisciplinary nature of the field. This study aimed to explore the collaborative and thematic dynamics at PSB using topic modeling and network analysis methods. We identified 14 central topics that have characterized the discourse at PSB over the past three decades. Our findings demonstrate significant trends in topic relevance, with a growing emphasis on machine learning and integrative analyses. We observed not only an expanding nexus of collaboration but also PSB's crucial role in fostering interdisciplinary collaborations. It remains unclear, however, whether the shift towards interdisciplinarity was driven by the conference itself, external academic trends, or broader societal shifts towards integrated research approaches. Future applications of next-generation analytical methods may offer deeper insights into these dynamics. Additionally, we have developed a web application that leverages retrieval augmented generation and large language models, enabling users to efficiently explore past PSB proceedings.

Indexed as

Computational BiologyCongresses as TopicCooperative BehaviorHistory, 21st CenturyHumansMachine Learning

Identifiers

PMID39670358
PMCPMC11747933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.