找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Biomedical Literature Mining; Vinod D. Kumar,Hannah Jane Tipney Book 2014 Springer Science+Business Media New York 2014 biomedical literat

[復(fù)制鏈接]
51#
發(fā)表于 2025-3-30 09:31:19 | 只看該作者
1064-3745 ul bioinformatics resource in biomedical literature text mining for both those long experienced in or entirely new to, the field..978-1-4939-5429-2978-1-4939-0709-0Series ISSN 1064-3745 Series E-ISSN 1940-6029
52#
發(fā)表于 2025-3-30 13:08:08 | 只看該作者
Accessing Biomedical Literature in the Current Information Landscapetion describes current research and the state-of-the-art systems motivated by the challenges a user faces during query formulation and interpretation of search results. The research solutions are classified into five key areas related to text and data mining, text similarity search, semantic search,
53#
發(fā)表于 2025-3-30 17:28:54 | 只看該作者
54#
發(fā)表于 2025-3-30 23:30:51 | 只看該作者
55#
發(fā)表于 2025-3-31 02:54:10 | 只看該作者
56#
發(fā)表于 2025-3-31 06:08:50 | 只看該作者
Functional Molecular Units for Guiding Biomarker Panel Designoach is to pick each marker as representative for a specific pathophysiological (mechanistic) process relevant for the disease under investigation, hence resulting in a multimarker panel for covering the set of pathophysiological processes underlying the frequently multifactorial composition of a cl
57#
發(fā)表于 2025-3-31 09:33:09 | 只看該作者
Predicting Future Discoveries from Current Scientific Literature Our literature-based discovery of NF-kappaB with its possible connections to autism was recently approved by scientific community, which confirms the ability of our literature mining methodology to accelerate future discoveries based on rare ideas from existing literature.
58#
發(fā)表于 2025-3-31 15:09:26 | 只看該作者
Integrative Literature and Data Mining to Rank Disease Candidate Genesledge about a disease of interest to discover and rank novel candidate genes. In this chapter, we provide a brief overview of recent advances made in literature- and data-mining-based approaches for candidate gene prioritization. As a case study, we focus on a Web-based computational approach that u
59#
發(fā)表于 2025-3-31 17:42:44 | 只看該作者
60#
發(fā)表于 2025-4-1 00:18:49 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 02:47
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
龙南县| 娄底市| 甘泉县| 綦江县| 商水县| 会东县| 环江| 义乌市| 蓬安县| 张家界市| 西城区| 响水县| 汉沽区| 绿春县| 炉霍县| 华亭县| 周口市| 礼泉县| 桦川县| 林芝县| 柳州市| 乐安县| 应城市| 贵南县| 汝城县| 普兰店市| 蓬安县| 梁河县| 南漳县| 重庆市| 白山市| 阳新县| 鸡东县| 临朐县| 铜川市| 龙岩市| 海口市| 应用必备| 安溪县| 庄浪县| 锦州市|