From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction

Authors

Institutions

Publication Details

Journal
Frontiers in Bioinformatics
Published
2026-03-03
DOI
https://doi.org/10.3389/fbinf.2026.1787360
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction

Huanqing Liu, Qian Lei, Tingting Li, Liping Li
Frontiers in Bioinformatics
Tuberculosis Research and Epidemiology
article

From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction

Huanqing Liu, Qian Lei, Tingting Li, Liping Li
article en

Abstract

No abstract available for this paper.
Frontiers in BioinformaticsVol. 6
Northwestern Polytechnical University (CN), Yunnan Forestry Vocational and Technical College (CN), Xi'an Chest Hospital (CN), Northwestern Polytechnic University (US)
Good health and well-being
Openalex Percentile: Top 37%
Tuberculosis Research and Epidemiology
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction — Huanqing Liu, Qian Lei, et al. · Frontiers in Bioinformatics (2026) | TGRS Research Map | TGRS